Triple
T34605454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ubulu-Okiti |
E888585
|
entity |
| Predicate | isInIgboSpeakingArea |
P117324
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Ubulu-Okiti, isInIgboSpeakingArea, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInIgboSpeakingArea Context triple: [Ubulu-Okiti, isInIgboSpeakingArea, true]
-
A.
isPredominantlyYoruba
Indicates that the subject consists mainly of, or is chiefly associated with, Yoruba people, culture, or characteristics.
-
B.
isSpokenInAdministrativeUnit
Indicates that a particular language is used or officially spoken within a specified administrative unit or region.
-
C.
isSpokenOn
Indicates that a particular language, phrase, or utterance is used or occurs during a specified time, event, or occasion.
-
D.
linguisticStatusOfArea
chosen
Indicates the linguistic status or condition that characterizes a particular geographic area.
-
E.
isWidelySpokenIn
Indicates that a language is spoken by a large portion of the population across many regions or communities within a specified area.
- 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_69f349d489d48190ba30e7d97c6f5ef9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:03 a.m.