Triple
T34110028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bamar historical heartland |
E874812
|
entity |
| Predicate | languageDominance |
P157178
|
FINISHED |
| Object | Burmese language |
—
|
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: Burmese language | Statement: [Bamar historical heartland, languageDominance, Burmese language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageDominance Context triple: [Bamar historical heartland, languageDominance, Burmese language]
-
A.
educationLanguageDominant
Indicates that one language is the primary or most influential language used in a person’s education.
-
B.
mainLanguageOf
Indicates that a specified language is the primary or dominant language used by a particular entity (such as a person, document, or organization).
-
C.
laterLanguageDominant
Indicates that one language becomes the dominant or primary language for an entity at a later point in time, after another language previously held that role.
-
D.
dominantLocalLanguage
chosen
Indicates that one language is the primary or most widely used language within a specific local area or community.
-
E.
dominantTraditionalLanguage
Indicates that one language is the primary or most widely used traditional language within a given context or community.
- 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_69f349a80d4481908527317d43f5c579 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a00512437d48190ad20324968ead5f4 |
completed | May 10, 2026, 9:34 a.m. |
| PD | Predicate disambiguation | batch_6a0050227350819099f41369c3d168be |
completed | May 10, 2026, 9:30 a.m. |
Created at: May 1, 2026, 1:53 a.m.