Triple
T5549786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itawit language |
E145496
|
entity |
| Predicate | hasEthnologueEntry |
P19233
|
FINISHED |
| Object | Itawit |
E336294
|
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: Itawit | Statement: [Itawit language, hasEthnologueEntry, Itawit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Itawit Context triple: [Itawit language, hasEthnologueEntry, Itawit]
-
A.
Itawit
chosen
Itawit is an Austronesian language spoken by the Itawit people primarily in the Cagayan Valley region of northern Luzon in the Philippines.
-
B.
Tubigon
Tubigon is a coastal municipality in the Philippine province of Bohol, known as a busy port town and gateway to nearby islands such as Cebu.
-
C.
Kanowit
Kanowit is a small riverside town and district in Sarawak, Malaysia, known for its location at the confluence of the Rajang and Kanowit rivers and its ethnically diverse Iban, Chinese, and Malay communities.
-
D.
Tagbanwa
Tagbanwa is an indigenous Philippine script historically used by the Tagbanwa people of Palawan for writing their Austronesian language.
-
E.
Tewai
Tewai is a settlement on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
- 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fe2aef481909944bc582c1f67a4 |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c059e39b7c81908c5eb3e940366562 |
completed | March 22, 2026, 9:06 p.m. |
Created at: March 22, 2026, 3:35 p.m.