Triple
T21355943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boulevard de Grenelle |
E526623
|
entity |
| Predicate | hasMetroStation |
P522
|
FINISHED |
| Object | Bir-Hakeim station |
—
|
NE NERFINISHED |
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: Bir-Hakeim station | Statement: [Boulevard de Grenelle, hasMetroStation, Bir-Hakeim station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bir-Hakeim station Context triple: [Boulevard de Grenelle, hasMetroStation, Bir-Hakeim station]
-
A.
Bir-Hakeim station
chosen
Bir-Hakeim station is a Paris Métro station on Line 6, located near the Eiffel Tower and serving the Grenelle area in the 15th arrondissement.
-
B.
9 de Julio station
9 de Julio station is a central Buenos Aires Underground stop on Line D, located beneath the city’s main downtown artery and providing key transfers to multiple subway lines.
-
C.
Moulsari Avenue station
Moulsari Avenue station is an elevated metro station on the Rapid Metro Gurgaon network serving the DLF Phase 3 area in Gurugram, India.
-
D.
Saint-Augustin station
Saint-Augustin station is a Paris Métro station in the 8th arrondissement, serving Line 9 near the Saint-Augustin church and major boulevards.
-
E.
Loria station
Loria station is a stop on Buenos Aires’ Line A subway, serving passengers in the Balvanera neighborhood of the city.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8af9cd4a48190aa6e72c019b60f8c |
completed | April 22, 2026, 11:23 a.m. |
Created at: April 16, 2026, 5:06 p.m.