Triple
T8837094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alor archipelago |
E210291
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object | Teiwa language |
E648904
|
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: Teiwa language | Statement: [Alor archipelago, hasLanguage, Teiwa language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teiwa language Context triple: [Alor archipelago, hasLanguage, Teiwa language]
-
A.
Teiwa language
chosen
Teiwa language is a Papuan language spoken by the Teiwa people on Pantar Island in eastern Indonesia.
-
B.
Tewa language
The Tewa language is a Tanoan Pueblo language spoken by the Tewa people of New Mexico and Arizona, known for its rich oral tradition and cultural significance in the Rio Grande region.
-
C.
Waigali language
The Waigali language is a Nuristani language spoken by the Waigal people in eastern Afghanistan.
-
D.
Tariana language
The Tariana language is an endangered Arawakan language spoken in the northwest Amazon region of Brazil, known for its complex verbal morphology and extensive system of evidentiality.
-
E.
Touo language
Touo is an Oceanic language spoken by a small community in the Solomon Islands, noted for its distinct phonology and limited number of speakers.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc606adde08190825dbdabd199c025 |
completed | April 1, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf898a478c81908f138a78f331b87d |
completed | April 3, 2026, 9:34 a.m. |
Created at: March 30, 2026, 6:48 p.m.