Triple
T21099956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lindford |
E519872
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Bordon |
—
|
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: Bordon | Statement: [Lindford, nearbySettlement, Bordon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bordon Context triple: [Lindford, nearbySettlement, Bordon]
-
A.
Bordon
chosen
Bordon is a town in East Hampshire, England, historically known for its large army camp and military training facilities.
-
B.
Loano
Loano is a coastal town and popular tourist resort on the Italian Riviera in the Liguria region of northwestern Italy.
-
C.
Bengower
Bengower is a prominent mountain peak in County Galway, Ireland, forming part of the rugged Twelve Bens range in Connemara.
-
D.
Bridgeland
Bridgeland is a large, master-planned residential community in Cypress, Texas, known for its extensive amenities, green spaces, and family-oriented neighborhoods.
-
E.
Basford
Basford is a suburban area of Nottingham, England, known for its mix of residential neighborhoods and light industry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5cef408190821d345417b77116 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:53 p.m.