Triple
T32719415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Défense RER station |
E836627
|
entity |
| Predicate | hasAdjacentStationOnMetro1 |
P41934
|
FINISHED |
| Object | Esplanade de La Défense |
—
|
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: Esplanade de La Défense | Statement: [La Défense RER station, hasAdjacentStationOnMetro1, Esplanade de La Défense]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdjacentStationOnMetro1 Context triple: [La Défense RER station, hasAdjacentStationOnMetro1, Esplanade de La Défense]
-
A.
hasAdjacentStationOnCentralLine
Indicates that one station is directly next to another station along the Central Line.
-
B.
adjacentStationOnMetropolitanLine
Indicates that one station is directly next to another station along the Metropolitan Line, with no other stations in between on that line.
-
C.
hasAdjacentStationOnPurpleLine
Indicates that one station is directly next to another station along the Purple Line in the transit network.
-
D.
hasAdjacentStationOnLine1
chosen
Indicates that one station is directly next to another station along Line 1 in the network.
-
E.
adjacentToStation
Indicates that one entity is located next to or immediately beside a station.
- F. None of above.
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_69f34935455881909088975d79460418 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: May 1, 2026, 1:11 a.m.