Triple
T20343499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Head Light |
E495802
|
entity |
| Predicate | keeperQuartersUse |
P122457
|
FINISHED |
| Object | vacation rentals |
—
|
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: vacation rentals | Statement: [North Head Light, keeperQuartersUse, vacation rentals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keeperQuartersUse Context triple: [North Head Light, keeperQuartersUse, vacation rentals]
-
A.
hasKeeperQuartersUse
chosen
Indicates that something is used as living or working quarters for a keeper or caretaker.
-
B.
hasNearbyQuarter
Indicates that one entity is located within a short distance of a specific quarter or district associated with another entity.
-
C.
numberOfQuarters
Indicates the quantity of quarters associated with or contained in a given entity or context.
-
D.
rewardUse
Indicates that one entity grants or provides a reward in response to the use or utilization of another entity.
-
E.
givesJewelsTo
Indicates that one entity transfers or presents jewels to another entity.
- 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_69e0b4a3320881909495ae8bc30bc2dc |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67837bef8819091e552d1c8a1665c |
completed | April 20, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69e57636b4808190bc2855af48a3ccdc |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:24 a.m.