Triple
T6731385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paicî language |
E153640
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Païci |
E600739
|
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: Païci | Statement: [Paicî language, hasAlternativeName, Païci]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Païci Context triple: [Paicî language, hasAlternativeName, Païci]
-
A.
Mompeo
Mompeo is a small Italian municipality in the Lazio region, known for its historic hilltop setting and scenic views within the Province of Rieti.
-
B.
Pearre
Pearre is a given name used as the middle name of U.S. Air Force General Charles Pearre Cabell.
-
C.
Boustany
Boustany is a surname of Lebanese origin notably associated with several prominent political and professional families, particularly in the United States and Lebanon.
-
D.
Paicî
chosen
Paicî is an indigenous Austronesian language spoken primarily in the central region of New Caledonia.
-
E.
Warley
Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
- 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16a30888190ae474d90bb71ac49 |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b029960819090de37c99e80ceb9 |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:09 p.m.