Triple
T15130300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dacorum |
E361400
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Flamstead |
E211887
|
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: Flamstead | Statement: [Dacorum, contains, Flamstead]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flamstead Context triple: [Dacorum, contains, Flamstead]
-
A.
Flamstead
chosen
Flamstead is a historic village and civil parish in the county of Hertfordshire, England.
-
B.
Flamstead End
Flamstead End is a village and residential area within the borough of Broxbourne in Hertfordshire, England.
-
C.
Finchampstead
Finchampstead is a village and civil parish in Berkshire, England, known for its affluent residential character and proximity to the town of Wokingham.
-
D.
Flintham
Flintham is a small rural village in Nottinghamshire, England, known for its historic church, traditional architecture, and surrounding agricultural landscape.
-
E.
Ashtead
Ashtead is a large suburban village in Surrey, England, known for its residential character, local amenities, and proximity to the town of Leatherhead.
- 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.