Triple
T8172577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eight Mile Rock |
E190857
|
entity |
| Predicate | hasApproximateDistanceFromFreeport |
P81084
|
FINISHED |
| Object | about 14 kilometers |
—
|
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: about 14 kilometers | Statement: [Eight Mile Rock, hasApproximateDistanceFromFreeport, about 14 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateDistanceFromFreeport Context triple: [Eight Mile Rock, hasApproximateDistanceFromFreeport, about 14 kilometers]
-
A.
distanceFromJamestown
Indicates the measured distance between a given location and Jamestown.
-
B.
distanceFromMiami
Indicates the spatial distance between a given entity’s location and the city of Miami.
-
C.
distanceFromMainland
Indicates the measured spatial separation between a location and the nearest point on the mainland.
-
D.
distanceFromBoston
Indicates the spatial distance between a given entity’s location and the city of Boston.
-
E.
distanceFromCharlotteAmalie
Indicates the measured distance between a given location and Charlotte Amalie.
- 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_69ca82c1c0a08190bf8692b4d91a03ca |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4807c9808190ad91a9c688a4c7fd |
completed | March 31, 2026, 4:05 a.m. |
| PD | Predicate disambiguation | batch_69cb36a4c40c81909f60aef0e1624c13 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb40a017608190b6b48cf60335fa8d |
completed | March 31, 2026, 3:33 a.m. |
Created at: March 30, 2026, 5:39 p.m.