Triple
T4341685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Hampshire (UK Parliament constituency) |
E97795
|
entity |
| Predicate | containsVillage |
P4011
|
FINISHED |
| Object | Horndean |
E429284
|
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: Horndean | Statement: [East Hampshire (UK Parliament constituency), containsVillage, Horndean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Horndean Context triple: [East Hampshire (UK Parliament constituency), containsVillage, Horndean]
-
A.
Horndean
chosen
Horndean is a large village and civil parish in Hampshire, England, situated near the South Downs and functioning mainly as a residential and commuter community.
-
B.
Kilndown
Kilndown is a small rural village in Kent, England, known for its historic church and woodland surroundings.
-
C.
Reydon
Reydon is a village and civil parish in the English county of Suffolk, located near the coastal town of Southwold.
-
D.
Herne
Herne is a city in the Ruhr area of North Rhine-Westphalia, Germany, known for its industrial heritage and dense urban character.
-
E.
Shudehill
Shudehill is a central district in Manchester, England, known for its major bus and tram interchange and proximity to the city’s main shopping and commercial areas.
- 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_69b34548402c819085ab68b27c235a87 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351878c148190b384053479d41caf |
completed | March 12, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d0b435e48190a79907fcf80756b2 |
completed | March 14, 2026, 9:18 p.m. |
Created at: March 12, 2026, 11:14 p.m.