Triple
T19898758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cagayan Province |
E478223
|
entity |
| Predicate | hasLocalLanguage |
P4185
|
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: [Cagayan Province, hasLocalLanguage, Itawit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Itawit Context triple: [Cagayan Province, hasLocalLanguage, 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.
Ilawa
Iława is a town in northern Poland’s Warmian-Masurian Voivodeship, known for its lakeside location on Jeziorak Lake and regional tourism.
-
C.
Itaitinga
Itaitinga is a municipality in the state of Ceará in northeastern Brazil, located in the metropolitan region of Fortaleza.
-
D.
Iguig
Iguig is a municipality in the province of Cagayan in the Philippines, known for its historic churches and scenic riverside landscapes.
-
E.
Pirawa
Pirawa is a town in the Jhalawar district of Rajasthan, India, serving as one of the region’s key local commercial and administrative centers.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6593fbb348190afa7acf45af406ed |
completed | April 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ea42b8c88190922819539e4b640b |
completed | May 16, 2026, 3:53 a.m. |
Created at: April 10, 2026, 1:52 p.m.