Triple
T12359095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luz district |
E294686
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Luz Station |
E295250
|
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: Luz Station | Statement: [Luz district, contains, Luz Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luz Station Context triple: [Luz district, contains, Luz Station]
-
A.
Luz Station
chosen
Luz Station is a historic railway station and major transportation hub in São Paulo, Brazil, known for its distinctive architecture and cultural significance.
-
B.
La Estrella station
La Estrella station is the southern terminal station of Line A of the Medellín Metro system in Colombia.
-
C.
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.
-
D.
La Raza station
La Raza station is a major Mexico City Metro interchange known for connecting multiple lines and serving as an important transit hub in the city’s northern area.
-
E.
Jubany Station
Jubany Station is an Argentine Antarctic research base located on King George Island near the Antarctic Peninsula, supporting scientific studies in fields such as glaciology, biology, and atmospheric science.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f90201481909359416b8b9f7871 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655608a0c81908002f9d79d017ded |
completed | May 2, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:54 p.m.