Triple
T6885003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creel station |
E158895
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Divisadero station |
E153515
|
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: Divisadero station | Statement: [Creel station, connectsTo, Divisadero station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Divisadero station Context triple: [Creel station, connectsTo, Divisadero station]
-
A.
Divisadero station
chosen
Divisadero station is a scenic stop on Mexico’s Ferrocarril Chihuahua al Pacífico (El Chepe) railway, known for its dramatic viewpoints over the Copper Canyon.
-
B.
Legarda station
Legarda station is an elevated rapid transit stop on Manila’s LRT Line 2 serving the Sampaloc area and nearby universities.
-
C.
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.
-
D.
Cyrville station
Cyrville station is a light-rail transit stop in Ottawa, Ontario, serving the city's Confederation Line.
-
E.
Tumba station
Tumba station is a railway station in Tumba, Sweden, serving as a local commuter hub on the Stockholm commuter rail network.
- 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_69c688342f6c8190ad7eea6ba262db99 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d90a2590819092ff253dd66ebe8b |
completed | March 27, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742d652088190a65e06eb7fe79cfc |
completed | March 28, 2026, 2:54 a.m. |
Created at: March 27, 2026, 2:23 p.m.