Triple
T20151830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County Borough of Neath Port Talbot |
E491451
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Melincourt |
—
|
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: Melincourt | Statement: [County Borough of Neath Port Talbot, containsSettlement, Melincourt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melincourt Context triple: [County Borough of Neath Port Talbot, containsSettlement, Melincourt]
-
A.
Melincourt
chosen
Melincourt is a small locality in Wales known for its scenic surroundings, including the nearby Melincourt Brook and waterfall.
-
B.
Elincourt
Elincourt is a small commune in northern France, situated within the administrative area of the Nord department.
-
C.
Magnicourt
Magnicourt is a small French commune located in the Aube department in the Grand Est region of northeastern France.
-
D.
Guignicourt
Guignicourt is a commune in northern France located in the Aisne department in the Hauts-de-France region.
-
E.
Pontois
Pontois is the French demonym referring to inhabitants of the commune of Pont-de-l’Isère in southeastern France.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667dc34e081908e42e4c1bde26170 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:33 p.m.