Triple
T26765135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erquinghem-Lys |
E674915
|
entity |
| Predicate | roadDistanceToLille |
P50654
|
FINISHED |
| Object | approximately 15 km west of Lille |
—
|
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: approximately 15 km west of Lille | Statement: [Erquinghem-Lys, roadDistanceToLille, approximately 15 km west of Lille]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadDistanceToLille Context triple: [Erquinghem-Lys, roadDistanceToLille, approximately 15 km west of Lille]
-
A.
distanceToLille
chosen
Indicates the spatial distance between a given entity and the city of Lille.
-
B.
distanceToValenciennes
Indicates the spatial distance between a given entity and the location of Valenciennes.
-
C.
distanceFromLillehammer
Indicates the spatial distance between a given entity and the location of Lillehammer.
-
D.
distanceToAntwerp
Indicates the measured distance between a given entity’s location and the city of Antwerp.
-
E.
roadDistanceToLeek_km
Indicates the distance in kilometers between an entity and Leek when traveling via the road network.
- 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_69eecda85298819097ee1c38a3d772e7 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6192758648190ba2c0bfc9904994e |
completed | May 2, 2026, 3:32 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:59 a.m.