Triple
T13616619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wangford with Henham |
E325331
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Henham |
E335855
|
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: Henham | Statement: [Wangford with Henham, hasPart, Henham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henham Context triple: [Wangford with Henham, hasPart, Henham]
-
A.
Henham
chosen
Henham is a small rural village located in the English county of Suffolk.
-
B.
Teynham
Teynham is a village and civil parish in the Swale district of Kent, England, known historically for its fruit-growing and hop-growing agriculture.
-
C.
Dereham
Dereham is a market town in the English county of Norfolk, known historically for its agriculture and rural character.
-
D.
Bedhampton
Bedhampton is a suburban area and former village in Hampshire, England, situated near Havant on the south coast.
-
E.
Barnham
Barnham is a village and civil parish in West Sussex, England, known for its railway junction and rural surroundings.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0ad0a7c81909c7972187202db96 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d41d1108190be5193b246845f07 |
completed | May 3, 2026, 7:08 p.m. |
Created at: April 9, 2026, 9:50 p.m.