Triple
T9574823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kavalan |
E231018
|
entity |
| Predicate | hasEndonym |
P1435
|
FINISHED |
| Object | Kavalan |
E231018
|
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: Kavalan | Statement: [Kavalan, hasEndonym, Kavalan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kavalan Context triple: [Kavalan, hasEndonym, Kavalan]
-
A.
Kavalan
chosen
Kavalan is an indigenous Austronesian language of Taiwan, traditionally spoken by the Kavalan people on the island’s northeastern coast.
-
B.
Amrut
Amrut is a celebrated Marathi poetry collection by Vishnu Vaman Shirwadkar (Kusumagraj), known for its lyrical depth and humanistic themes.
-
C.
Martell
Martell is a historic French cognac house renowned as one of the oldest and most prestigious producers in the Cognac region.
-
D.
Dewar
Dewar is a Scottish surname borne by various notable individuals in fields such as science, politics, and the arts.
-
E.
Sherry
Sherry is a surname most notably associated with William Grant Sherry, an American painter and the third husband of actress Bette Davis.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99aa964c8190a50717edff30f10b |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152c3f1e8819099f3f9d0f1d2d7b3 |
completed | April 4, 2026, 6:04 p.m. |
Created at: March 30, 2026, 8:05 p.m.