Triple
T25930695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Écréhous |
E653429
|
entity |
| Predicate | distanceFromJersey |
P191875
|
FINISHED |
| Object | approximately 6 miles northeast of Jersey |
—
|
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 6 miles northeast of Jersey | Statement: [Les Écréhous, distanceFromJersey, approximately 6 miles northeast of Jersey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromJersey Context triple: [Les Écréhous, distanceFromJersey, approximately 6 miles northeast of Jersey]
-
A.
distanceFromJamestown
Indicates the measured distance between a given location and Jamestown.
-
B.
distanceFromCharlotteAmalie
Indicates the measured distance between a given location and Charlotte Amalie.
-
C.
distanceFromStJohns
Indicates the measured distance between a given location and St. Johns.
-
D.
distanceFromBoston
Indicates the spatial distance between a given entity’s location and the city of Boston.
-
E.
distanceFromAtlanticOcean
Indicates the measured distance between a given entity and the Atlantic Ocean.
- 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69fcef636dfc819085cf91323f2e4edd |
completed | May 7, 2026, 8 p.m. |
Created at: April 22, 2026, 8:36 a.m.