Triple
T36379554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalagan language |
E896005
|
entity |
| Predicate | isSpokenInOrNear |
P7445
|
FINISHED |
| Object | Davao Region |
—
|
NE NERFINISHED |
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: Davao Region | Statement: [Kalagan language, isSpokenInOrNear, Davao Region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSpokenInOrNear Context triple: [Kalagan language, isSpokenInOrNear, Davao Region]
-
A.
isSpokenOn
Indicates that a particular language, phrase, or utterance is used or occurs during a specified time, event, or occasion.
-
B.
areSpokenIn
chosen
Indicates that a particular language is used as a spoken means of communication within a specified region, community, or context.
-
C.
isSpokenInAdministrativeUnit
Indicates that a particular language is used or officially spoken within a specified administrative unit or region.
-
D.
spokenInNeighboringRegionsOf
Indicates that a language or speech variety is used in regions that geographically border the primary region associated with another language or entity.
-
E.
isSpokenInTerrain
Indicates that a particular language or speech form is used or occurs within a specific type of terrain or geographical environment.
- F. None of above.
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_69f76e51d358819092bbc5f119f49476 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb3ff1b08190802b1063d55d3923 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a611a081908dd6aec1df3f4d7f |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:10 p.m.