Triple
T15130307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dacorum |
E361400
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Adeyfield |
E215274
|
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: Adeyfield | Statement: [Dacorum, contains, Adeyfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adeyfield Context triple: [Dacorum, contains, Adeyfield]
-
A.
Adeyfield
chosen
Adeyfield is a residential district and former new town neighborhood within Hemel Hempstead in the English county of Hertfordshire.
-
B.
Austerfield
Austerfield is a small village in South Yorkshire, England, notable for its historic church and connections to early English history.
-
C.
Darfield
Darfield is a small rural service town in the Canterbury region of New Zealand’s South Island, known as a gateway to nearby ski fields and outdoor recreation areas.
-
D.
Darfield
Darfield is a village in South Yorkshire, England, historically associated with coal mining and situated near the River Dearne.
-
E.
Falfield
Falfield is a small rural village and civil parish in South Gloucestershire, England, situated near the M5 motorway north of Bristol.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b194748190801e3956bf2429d4 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7fa449c8190aed8941168b063c3 |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:06 a.m.