Triple
T20552291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Havelock North |
E504625
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Hastings District |
—
|
NE NERFINISHED |
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: Hastings District | Statement: [Havelock North, partOf, Hastings District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hastings District Context triple: [Havelock North, partOf, Hastings District]
-
A.
Hart district
Hart district is a local government district in Hampshire, England, known for its affluent communities, extensive green spaces, and consistently high quality-of-life rankings.
-
B.
Hastings
chosen
Hastings is a major urban center in the Hawke's Bay region of New Zealand's North Island, known for its agriculture, wineries, and Art Deco and Spanish Mission-style architecture.
-
C.
Hastings
Hastings is a small commuter rail stop in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
-
D.
Hastings
Hastings was a prominent American Thoroughbred racehorse and influential sire whose bloodline helped shape early 20th-century U.S. racing.
-
E.
Hastings
Hastings is a surname most prominently associated with Reed Hastings, the co-founder and longtime CEO of Netflix.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5d98c348190ac516bc2df59d878 |
completed | April 20, 2026, 10:16 p.m. |
Created at: April 16, 2026, 11:38 a.m.