Triple
T10451935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mapleville |
E246445
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Burrillville |
E246441
|
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: Burrillville | Statement: [Mapleville, locatedIn, Burrillville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burrillville Context triple: [Mapleville, locatedIn, Burrillville]
-
A.
Burrillville
chosen
Burrillville is a rural town in the northwest corner of Rhode Island known for its forests, lakes, and small New England village centers.
-
B.
Middlesmoor
Middlesmoor is a small, picturesque village in North Yorkshire, England, known for its scenic hilltop setting and views over the Nidderdale valley.
-
C.
Mancot
Mancot is a village and suburb of Hawarden in Flintshire, Wales, forming part of the Deeside conurbation near the English border.
-
D.
Newton Haven
Newton Haven is the fictional English town where the events of the sci‑fi comedy film "The World’s End" unfold, serving as the backdrop for a pub crawl that turns into an alien invasion crisis.
-
E.
Beacon Falls
Beacon Falls is a small town in Connecticut known for its scenic Naugatuck River setting and historic mill village character.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe0b7bb481908182c7b9a80af3b3 |
completed | April 7, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b2803d88190ab93dd19b4cfee30 |
completed | April 10, 2026, 9:27 p.m. |
Created at: April 6, 2026, 12:17 p.m.