Triple
T12538994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bures St Mary |
E299785
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object | Bures |
E788610
|
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: Bures | Statement: [Bures St Mary, hasPostTown, Bures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bures Context triple: [Bures St Mary, hasPostTown, Bures]
-
A.
Bures
chosen
Bures is a historic village straddling the Essex–Suffolk border in eastern England, known for its picturesque rural setting and medieval heritage.
-
B.
Lübars
Lübars is a historic, village-like district in Berlin’s Reinickendorf borough, known for its rural character, fields, and preserved traditional architecture within the city.
-
C.
Deauzya
Deauzya is the given first name of American professional basketball player DiDi Richards.
-
D.
Loue
The Loue is a river in eastern France, known for its scenic valleys and as a tributary of the Doubs in the Bourgogne-Franche-Comté region.
-
E.
Seneffe
Seneffe is a municipality in the province of Hainaut in Wallonia, Belgium, historically notable as the site of a major 17th-century battle during the Franco-Dutch War.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9546ebf508190ae54857e4289c6e4 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65eb10618819092540de09997a0c5 |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 8, 2026, 9:57 p.m.