Triple
T11679833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pureza station |
E277585
|
entity |
| Predicate | hasAdjacentStation |
P231
|
FINISHED |
| Object | Legarda station |
E277584
|
NE FINISHED |
How this triple was built (2 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: Legarda station | Statement: [Pureza station, hasAdjacentStation, Legarda station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Legarda station Context triple: [Pureza station, hasAdjacentStation, Legarda station]
-
A.
Legarda station
chosen
Legarda station is an elevated rapid transit stop on Manila’s LRT Line 2 serving the Sampaloc area and nearby universities.
-
B.
La Estrella station
La Estrella station is the southern terminal station of Line A of the Medellín Metro system in Colombia.
-
C.
Cabitos station
Cabitos station is a stop on Lima Metro’s Line 1 serving passengers in the southern part of Peru’s capital city.
-
D.
Oriente station
Oriente station is a major multimodal transport hub in Lisbon, Portugal, serving as a key connection point for trains, metro, buses, and regional services.
-
E.
Tasqueña station
Tasqueña station is a major southern transit hub in Mexico City that serves as the terminus for the Tren Ligero light rail and connects with the city’s metro and bus networks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a461b0908190bef4e1c6777affcf |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef14007dd08190b60640be9949ca26 |
completed | April 27, 2026, 7:45 a.m. |
Created at: April 8, 2026, 9:40 p.m.