Triple
T6754185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bellmore |
E154411
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Merrick |
E114969
|
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: Merrick | Statement: [Bellmore, adjacentTo, Merrick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merrick Context triple: [Bellmore, adjacentTo, Merrick]
-
A.
Merrick
Merrick is a prominent mountain in southwest Scotland, known as the highest peak in the Galloway Hills and a popular destination for hillwalkers.
-
B.
Merrick
chosen
Merrick is a suburban community on Long Island, New York, known as a residential area with commuter rail access to New York City.
-
C.
Merrick
"Merrick" is a horror novel by Tabitha King that explores dark family secrets and psychological terror in a small-town setting.
-
D.
Crain
Crain is a variant spelling of the surname Crane, which is of English origin and often associated with the bird of the same name.
-
E.
Wallabout
Wallabout is a historic waterfront neighborhood in Brooklyn, New York, known for its proximity to the Brooklyn Navy Yard and its early industrial and maritime heritage.
- 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_69c6880fd5808190be684854081e27dd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1f32fa08190bb23dc24fef14c8d |
completed | March 27, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b1c4594819084716e21b16191e3 |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:11 p.m.