Triple
T13584874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wetherden |
E324522
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Haughley |
E330436
|
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: Haughley | Statement: [Wetherden, locatedNear, Haughley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haughley Context triple: [Wetherden, locatedNear, Haughley]
-
A.
Haughley
chosen
Haughley is a historic village and civil parish in the English county of Suffolk, known for its medieval castle earthworks and traditional rural character.
-
B.
Grayshott
Grayshott is a village in Hampshire, England, known as the birthplace of actor Colin Firth.
-
C.
Hawkhurst
Hawkhurst is a historic village in Kent, England, known for its picturesque Wealden countryside setting and its association with the 18th-century Hawkhurst Gang of smugglers.
-
D.
Hadleigh
Hadleigh is a historic market town in Suffolk, England, known for its medieval buildings and traditional rural character.
-
E.
Hadleigh
Hadleigh is a town in Essex, England, known for its historic castle ruins and position within the borough of Castle Point.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb03310fc819092a56b9f2d73f560 |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bc148d08190821614a866d1a7f0 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.