Triple
T24607052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longleat House |
E609002
|
entity |
| Predicate | hasNearbyCountyTown |
P3883
|
FINISHED |
| Object | Trowbridge |
—
|
NE NERFINISHED |
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: Trowbridge | Statement: [Longleat House, hasNearbyCountyTown, Trowbridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyCountyTown Context triple: [Longleat House, hasNearbyCountyTown, Trowbridge]
-
A.
hasNearbyCounty
Indicates that one county is geographically close to or directly adjacent to another county.
-
B.
hasNearbyTown
chosen
Indicates that one location has a town situated close to it in geographic proximity.
-
C.
hasNearbyCountyBorder
Indicates that the borders of two counties are geographically close to each other, though not necessarily directly adjacent.
-
D.
hasNearbyTownType
Indicates that one entity has, in its vicinity, a town of a specified type or classification.
-
E.
adjacentToCounty
Indicates that one county directly borders or touches another county geographically.
- F. None of above.
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_69e2c4d060e08190ac9f7c49b1036e20 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:31 a.m.