Triple
T6556230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 8 (Madrid Metro) |
E152453
|
entity |
| Predicate | hasInterchange |
P3495
|
FINISHED |
| Object |
Colombia station
Colombia station is a Madrid Metro station that serves as a key transfer point between multiple lines in the city's underground network.
|
E604809
|
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: Colombia station | Statement: [Line 8 (Madrid Metro), hasInterchange, Colombia station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colombia station Context triple: [Line 8 (Madrid Metro), hasInterchange, Colombia station]
-
A.
Santa Marta station
Santa Marta station is a Mexico City Metro rapid transit stop serving the eastern part of the city on one of its main lines.
-
B.
Angamos station
Angamos station is a passenger stop on Line 1 of the Lima Metro system in Lima, Peru.
-
C.
San Carlos station
San Carlos station is a commuter rail station in San Carlos, California, serving Caltrain passengers on the San Francisco Peninsula.
-
D.
Guadalupe station
Guadalupe station is an elevated rapid transit stop on Manila's MRT Line 3 serving the Guadalupe area in Makati, Philippines.
-
E.
Buenavista station
Buenavista station is a major Mexico City Metro terminal and transport hub located in the Buenavista area, connecting metro services with commuter rail and other transit options.
- 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: Colombia station Triple: [Line 8 (Madrid Metro), hasInterchange, Colombia station]
Generated description
Colombia station is a Madrid Metro station that serves as a key transfer point between multiple lines in the city's underground network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Colombia station Target entity description: Colombia station is a Madrid Metro station that serves as a key transfer point between multiple lines in the city's underground network.
-
A.
Santa Marta station
Santa Marta station is a Mexico City Metro rapid transit stop serving the eastern part of the city on one of its main lines.
-
B.
Angamos station
Angamos station is a passenger stop on Line 1 of the Lima Metro system in Lima, Peru.
-
C.
San Carlos station
San Carlos station is a commuter rail station in San Carlos, California, serving Caltrain passengers on the San Francisco Peninsula.
-
D.
Guadalupe station
Guadalupe station is an elevated rapid transit stop on Manila's MRT Line 3 serving the Guadalupe area in Makati, Philippines.
-
E.
Buenavista station
Buenavista station is a major Mexico City Metro terminal and transport hub located in the Buenavista area, connecting metro services with commuter rail and other transit options.
- 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae1d28bc8190a2fa4b3e1e39863c |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d559ad4881909c1e7712d84945f6 |
completed | March 27, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69c6d676e43081909bf2a9cceff0b9b3 |
completed | March 27, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d84076d48190ada0903af49613de |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:51 p.m.