Triple
T33899094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Créteil–L’Échat |
E868995
|
entity |
| Predicate | followingStationOnLine8 |
P197461
|
FINISHED |
| Object | Créteil–Université |
—
|
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: Créteil–Université | Statement: [Créteil–L’Échat, followingStationOnLine8, Créteil–Université]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followingStationOnLine8 Context triple: [Créteil–L’Échat, followingStationOnLine8, Créteil–Université]
-
A.
followingStationOnLine7
Indicates that one station is the next station in sequence after another station on subway Line 7.
-
B.
followingStationOnLineD
Indicates that one station is the next station in sequence after another station on subway line D.
-
C.
followedByStationOnLine1
Indicates that one station directly succeeds another station along the sequence of stops on Line 1.
-
D.
followedByStationOnLineM2
Indicates that one station is immediately followed by another station along metro line M2 in the direction of travel.
-
E.
formerStationOnLine
Indicates that a station previously belonged to or operated on a particular transit line but is no longer in service on that line.
- F. None of above. chosen
Provenance (4 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_69f34997703c8190866b1d404bce531f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe920a437081908d5174e8cf7a53a6 |
completed | May 9, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69fe919a9a6c8190acb4483f386e6db7 |
completed | May 9, 2026, 1:44 a.m. |
| PDg | Predicate description generation | batch_69fe9208ed708190980fb5061b22ae49 |
completed | May 9, 2026, 1:46 a.m. |
Created at: May 1, 2026, 1:48 a.m.