Triple
T5506135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 3 (Madrid Metro) |
E144444
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Legazpi
Legazpi is a Madrid Metro station and transport hub located in the Arganzuela district of Madrid, Spain.
|
E533337
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
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: Legazpi | Statement: [Line 3 (Madrid Metro), hasStation, Legazpi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Legazpi Context triple: [Line 3 (Madrid Metro), hasStation, Legazpi]
-
A.
Lalakay
Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
-
B.
Malpaso
Malpaso is the highest peak on the Canary Island of El Hierro, known for its panoramic views over the island and surrounding Atlantic Ocean.
-
C.
Capampangan
Capampangan is an Austronesian language spoken primarily in the Pampanga region of the Philippines by the Kapampangan people.
-
D.
Apalit
Apalit is a municipality in the province of Pampanga in the Philippines, known for its religious festivals and riverside communities along the Pampanga River.
-
E.
Surigaonon
Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the Philippines.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
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: Legazpi Triple: [Line 3 (Madrid Metro), hasStation, Legazpi]
Generated description
Legazpi is a Madrid Metro station and transport hub located in the Arganzuela district of Madrid, Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Legazpi Target entity description: Legazpi is a Madrid Metro station and transport hub located in the Arganzuela district of Madrid, Spain.
-
A.
Lalakay
Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
-
B.
Malpaso
Malpaso is the highest peak on the Canary Island of El Hierro, known for its panoramic views over the island and surrounding Atlantic Ocean.
-
C.
Capampangan
Capampangan is an Austronesian language spoken primarily in the Pampanga region of the Philippines by the Kapampangan people.
-
D.
Apalit
Apalit is a municipality in the province of Pampanga in the Philippines, known for its religious festivals and riverside communities along the Pampanga River.
-
E.
Surigaonon
Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the Philippines.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f47d2dc8190ad874be6902d8a4c |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027b7ef2481908b43f34721b8a8b3 |
completed | March 22, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69c03d668fe88190a1cf88b0708b405f |
completed | March 22, 2026, 7:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c03de30928819094af492af0281130 |
completed | March 22, 2026, 7:07 p.m. |
Created at: March 22, 2026, 3:32 p.m.