Triple
T21757761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clara |
E537083
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Moate |
—
|
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: Moate | Statement: [Clara, near, Moate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moate Context triple: [Clara, near, Moate]
-
A.
Moate
chosen
Moate is a small town in central Ireland known for its location on the old Dublin–Galway road and its surrounding agricultural countryside.
-
B.
Avonmore
Avonmore is a small rural community located within Russell County in the Canadian province of Ontario.
-
C.
Boyne
Boyne is a surname of English and Irish origin borne by various notable individuals across fields such as academia, politics, and the arts.
-
D.
Moyle
Moyle is a district-level area in Northern Ireland known for its rugged coastline, including parts of the Antrim coast and nearby islands.
-
E.
Brandywell
Brandywell is a district in Derry, Northern Ireland, best known for its football stadium and close-knit residential community.
- 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d8f64d881909cf10fd420153b09 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 16, 2026, 6:50 p.m.