Triple
T12346694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macduff |
E294373
|
entity |
| Predicate | twinTownWith |
P1072
|
FINISHED |
| Object | Givet |
E819821
|
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: Givet | Statement: [Macduff, twinTownWith, Givet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Givet Context triple: [Macduff, twinTownWith, Givet]
-
A.
Givet
chosen
Givet is a small fortified town in northeastern France near the Belgian border, known for its strategic location along the Meuse River.
-
B.
Givens
Givens is a surname most notably associated with American actress Robin Givens.
-
C.
Givan
Givan is a surname most notably associated with Paul Givan, a Northern Irish politician who has served as First Minister of Northern Ireland.
-
D.
Giæver
Giæver is a Norwegian surname borne by several notable figures in fields such as physics, literature, and public service.
-
E.
Donen
Donen is a surname most famously associated with Stanley Donen, the American film director and choreographer known for classic Hollywood musicals such as "Singin' in the Rain."
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7a4a448190aa70d66dc2f406c1 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aae8d7c8190a722c28a5a153d1d |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:53 p.m.