Triple
T30571746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senoi |
E778138
|
entity |
| Predicate | countryGovernmentClassification |
P15769
|
FINISHED |
| Object | Orang Asli |
—
|
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: Orang Asli | Statement: [Senoi, countryGovernmentClassification, Orang Asli]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryGovernmentClassification Context triple: [Senoi, countryGovernmentClassification, Orang Asli]
-
A.
governmentClassification
chosen
Indicates that an entity is assigned a specific status or category according to a government’s official classification system.
-
B.
governingClassification
Indicates the classification system or category framework that determines how an entity is organized, labeled, or regulated.
-
C.
countryGovernment
Indicates the type or form of government that exercises authority over a given country.
-
D.
stateClassification
Indicates how something is categorized or classified within a particular state or status.
-
E.
powerClassification
Indicates how an entity’s power, strength, or influence is categorized or ranked within a defined system.
- 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_69f2249f8c148190ae7eb3912cde112a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff891e4b9c8190aa86a339a8944496 |
completed | May 9, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69ff8801180c8190b23e20996ca68e0a |
completed | May 9, 2026, 7:16 p.m. |
Created at: April 29, 2026, 8:22 p.m.