Triple
T14101536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imjin Barracks, Innsworth |
E339392
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Innsworth |
E491360
|
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: Innsworth | Statement: [Imjin Barracks, Innsworth, locatedIn, Innsworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Innsworth Context triple: [Imjin Barracks, Innsworth, locatedIn, Innsworth]
-
A.
Innsworth
chosen
Innsworth is a village in Gloucestershire, England, notable for its longstanding military presence and association with British and NATO command units.
-
B.
Weatherbury
Weatherbury is a fictional rural village in Thomas Hardy’s Wessex, best known as the primary setting of his novel "Far from the Madding Crowd."
-
C.
Thornsett
Thornsett is a small rural settlement located within the High Peak area of Derbyshire in England.
-
D.
Westcott
Westcott is a village in the Mole Valley district of Surrey, England, known for its rural setting in the Surrey Hills.
-
E.
Tesseney
Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fbbf0b08190ba1ea3657d6db005 |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0b108908190b4b408f21ecb877a |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.