Triple
T8303962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line H |
E194413
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object | Luzarches station |
E726439
|
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: Luzarches station | Statement: [Line H, servesStation, Luzarches station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luzarches station Context triple: [Line H, servesStation, Luzarches station]
-
A.
Luzarches station
chosen
Luzarches station is a railway terminus in the Val-d'Oise department of northern France, serving as the endpoint of a Transilien suburban line from Paris.
-
B.
Luz Station
Luz Station is a historic railway station and major transportation hub in São Paulo, Brazil, known for its distinctive architecture and cultural significance.
-
C.
Loria station
Loria station is a stop on Buenos Aires’ Line A subway, serving passengers in the Balvanera neighborhood of the city.
-
D.
Misterios station
Misterios station is a Mexico City Metro station on Line 5, named after the nearby Calzada de los Misterios and serving passengers in the northern part of the city.
-
E.
La Aurora station
La Aurora station is a terminal stop on Medellín’s mass transit system, serving as an endpoint for one of the Metro de Medellín lines.
- 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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7e8b9f6081909100d1da8a078616 |
completed | March 31, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc6dc4008819084eff0960917494c |
completed | April 2, 2026, 1:31 a.m. |
Created at: March 30, 2026, 5:53 p.m.