Triple
T12537882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mutford |
E299747
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Henstead |
E301438
|
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: Henstead | Statement: [Mutford, locatedNear, Henstead]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henstead Context triple: [Mutford, locatedNear, Henstead]
-
A.
Henstead
chosen
Henstead is a small rural village and civil parish located in the county of Suffolk in eastern England.
-
B.
Kennicott
Kennicott is a historic former copper-mining company town in Alaska’s Wrangell–St. Elias National Park, known for its well-preserved mill buildings and surrounding glaciers.
-
C.
Arlyn
Arlyn is a feminine given name, sometimes used as a variant of Arlene or Arlen.
-
D.
Saintfield
Saintfield is a small town and civil parish in Northern Ireland known for its historic architecture and rural surroundings.
-
E.
Sharston
Sharston is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to other districts like Baguley and Wythenshawe.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9546ebf508190ae54857e4289c6e4 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6557a95d48190ac588807544f060f |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.