Triple
T10589762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knockholt |
E249951
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Halstead |
E168882
|
NE 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: Halstead | Statement: [Knockholt, locatedNear, Halstead]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halstead Context triple: [Knockholt, locatedNear, Halstead]
-
A.
Halstead
chosen
Halstead is a historic market town in the county of Essex in the East of England.
-
B.
Havendale
Havendale is a residential community located in the Parish of St. Andrew in Jamaica, known for its suburban character and proximity to Kingston.
-
C.
Harwood
Harwood is a small residential neighborhood in central Baltimore, Maryland, known for its rowhouses and proximity to major city institutions and adjacent communities like Charles Village.
-
D.
Harwood
Harwood is a small community located near Rice Lake in Ontario, Canada, known for its lakeside setting and rural character.
-
E.
Harwood
Harwood is a small rural locality in New South Wales, Australia, situated on the Clarence River and known for its sugar industry and historic Harwood Bridge.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5277a39f08190848f24752cfa4b8f |
completed | April 7, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e85c49c8190a580536be07c0405 |
completed | April 10, 2026, 8:33 p.m. |
Created at: April 6, 2026, 12:40 p.m.