Triple
T10701978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sankaty Head Caddie Camp |
E252298
|
entity |
| Predicate | hasOccupationForResidents |
P57590
|
FINISHED |
| Object | golf caddie |
—
|
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: golf caddie | Statement: [Sankaty Head Caddie Camp, hasOccupationForResidents, golf caddie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOccupationForResidents Context triple: [Sankaty Head Caddie Camp, hasOccupationForResidents, golf caddie]
-
A.
hasNonHumanResident
Indicates that a place or location is inhabited or occupied by one or more non-human entities.
-
B.
allowedOccupationOf
Indicates that one entity is permitted or authorized to hold or perform the occupation associated with another entity.
-
C.
endedOccupationOf
Indicates that one entity brought another entity’s occupation or control of a place or position to an end.
-
D.
usedForResidentsOf
chosen
Indicates that something is intended to be used by, or serves the needs of, people who reside in a particular place or region.
-
E.
hasResidentPopulation
Indicates that a place or administrative area has a population of people who live there permanently or for an extended period.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd8c835c8190bf1a67ee94195926 |
completed | April 9, 2026, 1:14 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8ea6408190a800f9cb57372189 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:12 p.m.