Triple
T14170402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villiers-le-Bel |
E351189
|
entity |
| Predicate | distanceFromParisCentreDirection |
P45843
|
FINISHED |
| Object | north |
—
|
LITERAL 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: north | Statement: [Villiers-le-Bel, distanceFromParisCentreDirection, north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromParisCentreDirection Context triple: [Villiers-le-Bel, distanceFromParisCentreDirection, north]
-
A.
distanceFromParisCenter
Indicates the measured distance between a given location and the central point of Paris.
-
B.
directionFromParis
chosen
Indicates the cardinal or relative compass direction of an entity as measured from Paris toward that entity.
-
C.
distanceToBordeauxCenter
Indicates the measured or calculated distance between a given entity’s location and the center of Bordeaux.
-
D.
distanceFromFoixKilometres
Indicates the physical distance, measured in kilometers, between a given place or entity and the location of Foix.
-
E.
distanceFromCityCenterDirection
Indicates the distance and compass direction of a location relative to the center of a specified city.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b472288190b4a271daa54aa6cd |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:01 a.m.