Triple
T15837040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argüelles neighborhood |
E384010
|
entity |
| Predicate | hasPublicTransport |
P1288
|
FINISHED |
| Object |
Islas Filipinas metro station
Islas Filipinas metro station is a Madrid Metro station on Line 7 serving the Chamberí district of Madrid, Spain.
|
E1180399
|
NE FINISHED |
Named-entity recognition
Before disambiguation, gpt-5-mini classified whether the object phrase is a named entity — the step behind the object's NE type shown above.
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Islas Filipinas metro station | Statement: [Argüelles neighborhood, hasPublicTransport, Islas Filipinas metro station]
Disambiguation candidates (2 decisions)
The exact options the model was shown at each disambiguation step, with the option it chose highlighted — the evidence behind this triple's disambiguated ids.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Islas Filipinas metro station Context triple: [Argüelles neighborhood, hasPublicTransport, Islas Filipinas metro station]
-
A.
Legazpi metro station
Legazpi metro station is a Madrid Metro station in the Arganzuela district that serves as a key access point to nearby cultural sites such as Matadero Madrid.
-
B.
Manila Station
Manila Station is a key facility associated with the Court of Appeals of the Philippines, serving as one of its primary operational locations in the capital.
-
C.
Baclaran station
Baclaran station is a major elevated light rail transit station in Parañaque, Metro Manila, serving as the southern gateway for commuters traveling along Manila’s LRT Line 1 corridor.
-
D.
MRT-3 Shaw Boulevard station
MRT-3 Shaw Boulevard station is a major elevated rapid transit stop on Manila’s Metro Rail Transit Line 3, serving as a key access point to the Ortigas Center business district.
-
E.
Antipolo station
Antipolo station is an elevated eastern terminal station of Manila’s LRT Line 2 serving the city of Antipolo in Rizal, Philippines.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Islas Filipinas metro station Target entity description: Islas Filipinas metro station is a Madrid Metro station on Line 7 serving the Chamberí district of Madrid, Spain.
-
A.
Legazpi metro station
Legazpi metro station is a Madrid Metro station in the Arganzuela district that serves as a key access point to nearby cultural sites such as Matadero Madrid.
-
B.
Manila Station
Manila Station is a key facility associated with the Court of Appeals of the Philippines, serving as one of its primary operational locations in the capital.
-
C.
Baclaran station
Baclaran station is a major elevated light rail transit station in Parañaque, Metro Manila, serving as the southern gateway for commuters traveling along Manila’s LRT Line 1 corridor.
-
D.
MRT-3 Shaw Boulevard station
MRT-3 Shaw Boulevard station is a major elevated rapid transit stop on Manila’s Metro Rail Transit Line 3, serving as a key access point to the Ortigas Center business district.
-
E.
Antipolo station
Antipolo station is an elevated eastern terminal station of Manila’s LRT Line 2 serving the city of Antipolo in Rizal, Philippines.
- F. None of above. chosen
How the object was described
The object's one-sentence description was generated by prompting gpt-5.1 with the object name and this triple as context.
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Islas Filipinas metro station Triple: [Argüelles neighborhood, hasPublicTransport, Islas Filipinas metro station]
Generated description
Islas Filipinas metro station is a Madrid Metro station on Line 7 serving the Chamberí district of Madrid, Spain.
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69d86da34c888190976e06c4019d415a |
elicitation | completed |
| NER | batch_69e142e1fcd48190bcb884f6c65db847 |
ner | completed |
| NED1 | batch_69ffa13a83448190adcad8bb84622e55 |
ned_source_triple | completed |
| NED2 | batch_69ffa5372f248190827cdc4985fee1ef |
ned_description | completed |
| NEDg | batch_69ffa417ee248190808b0fecfb58d705 |
nedg | completed |
Created at: April 10, 2026, 4:49 a.m.