Triple
T14599586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Island |
E342665
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Islip |
E96415
|
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: Islip | Statement: [Long Island, contains, Islip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Islip Context triple: [Long Island, contains, Islip]
-
A.
Islip
chosen
Islip is a suburban town in Suffolk County on the south shore of Long Island, New York, known for its residential communities, parks, and coastal access.
-
B.
Islip
Islip is a village and civil parish in Oxfordshire, England, known for its historic church and rural setting near the River Ray.
-
C.
Denholme
Denholme is a small town and civil parish in West Yorkshire, England, situated on the eastern edge of the South Pennines.
-
D.
Sandycove
Sandycove is a coastal suburb in south County Dublin, Ireland, known for its scenic shoreline, popular bathing spot at the Forty Foot, and its association with James Joyce.
-
E.
Skibbereen
Skibbereen is a town in West Cork, Ireland, known for its rich history, vibrant arts scene, and its role as a center of remembrance for the Great Famine.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb438748081908020ce04b869866a |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94ca0fec81908fb9c674f48a793b |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:25 a.m.