Triple
T28660488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WMUR-TV |
E725453
|
entity |
| Predicate | secondaryCoverageArea |
P136191
|
FINISHED |
| Object | eastern Massachusetts |
—
|
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: eastern Massachusetts | Statement: [WMUR-TV, secondaryCoverageArea, eastern Massachusetts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondaryCoverageArea Context triple: [WMUR-TV, secondaryCoverageArea, eastern Massachusetts]
-
A.
hasAreaOfCoverage
chosen
Indicates that an entity provides services, influence, or applicability within a specified geographic or conceptual region.
-
B.
cellCovering
Indicates that one entity forms a covering or enclosing layer around a cell or group of cells.
-
C.
regionCoverage
Indicates that one entity geographically spans, includes, or serves the area defined by another entity.
-
D.
mayCoverArea
Indicates that one entity is permitted or able to extend over, include, or encompass a specified spatial area.
-
E.
secondCircuitCovers
Indicates that a legal case or matter falls within the jurisdiction or authority of the U.S. Court of Appeals for the Second Circuit.
- F. None of above.
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_69f01d84f5f0819087ab5e6143b14ed7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: April 28, 2026, 4:57 a.m.