Triple
T19887092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Long Island |
E477927
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Orient |
—
|
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: Orient | Statement: [Eastern Long Island, hasPart, Orient]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orient Context triple: [Eastern Long Island, hasPart, Orient]
-
A.
Orient
chosen
Orient is a small coastal hamlet on the North Fork of Long Island in New York, known for its historic charm and waterfront setting.
-
B.
Orient
Orient is a themed section of the Worlds of Fun amusement park inspired by Asian cultures and architecture.
-
C.
Orient
Orient is a regional administrative division within the Prince Hall Scottish Rite Masonic organization, grouping together local bodies under a common jurisdiction.
-
D.
Oriente
Oriente is a Bolivian professional football club based in Santa Cruz de la Sierra, known for competing in the country’s top division.
-
E.
Orient I
Orient I is a musical work, likely an improvisational composition, associated with the piece "Improvisation 33."
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6590b12c08190bf44a3f3b2cb9122 |
completed | April 20, 2026, 4:49 p.m. |
Created at: April 10, 2026, 1:52 p.m.