Triple
T13389965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barneville-Carteret |
E319548
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Carteret |
E418366
|
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: Carteret | Statement: [Barneville-Carteret, hasPart, Carteret]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carteret Context triple: [Barneville-Carteret, hasPart, Carteret]
-
A.
Carteret
chosen
Carteret is a borough in Middlesex County, New Jersey, known as a residential and industrial community along the Arthur Kill waterfront.
-
B.
Beaufort
Beaufort is an English noble family name historically associated with a prominent cadet branch of the House of Lancaster in medieval England.
-
C.
Beaufort
Beaufort is a small town and administrative district in the southwestern part of Sabah, Malaysia, known for its railway connection and proximity to wetlands and riverine landscapes.
-
D.
Beaufort
Beaufort is a firm, raw cow’s milk Alpine cheese from France renowned for its smooth texture and complex, nutty flavor.
-
E.
Beaufort
Beaufort is a character in Frances Burney’s satirical play "The Witlings," which critiques the pretensions and follies of fashionable 18th-century society.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d543348190a9c1be509b015c0f |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72691c8d08190b971d7e914863cc1 |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:34 p.m.