Triple
T4606573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chavacano |
E100450
|
entity |
| Predicate | hasSubstrateLanguage |
P11299
|
FINISHED |
| Object | Subanen |
E126716
|
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: Subanen | Statement: [Chavacano, hasSubstrateLanguage, Subanen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Subanen Context triple: [Chavacano, hasSubstrateLanguage, Subanen]
-
A.
Subanen
chosen
The Subanen are an indigenous ethnic group in the southern Philippines known for their upland farming lifestyle, rich oral traditions, and distinct language and rituals.
-
B.
Sibunag
Sibunag is a coastal municipality located on the island province of Guimaras in the Western Visayas region of the Philippines.
-
C.
Shamiya
Shamiya is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
-
D.
Isanzu
Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
-
E.
Numata
Numata is a city in Gunma Prefecture, Japan, known as a gateway to the Mount Akagi and Oze National Park areas.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd599c50d08190ab226cd0691e29f9 |
completed | March 20, 2026, 2:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfa725c048190af9eea074197fa32 |
completed | March 21, 2026, 1:54 a.m. |
Created at: March 20, 2026, 1:12 p.m.