Triple
T31708162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Central Dawan |
E809239
|
entity |
| Predicate | alternateNameOfSuperordinate |
P157439
|
FINISHED |
| Object | Uab Meto |
—
|
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: Uab Meto | Statement: [South Central Dawan, alternateNameOfSuperordinate, Uab Meto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternateNameOfSuperordinate Context triple: [South Central Dawan, alternateNameOfSuperordinate, Uab Meto]
-
A.
alternateNameOfMainSubject
chosen
Indicates that the referenced name is an alternative or secondary name used for the main subject.
-
B.
termAlsoUsedFor
Indicates that one term is also used to refer to the same or closely related concept as another term.
-
C.
alternativeAbbreviation
Indicates that one term serves as an alternative shortened form or acronym for another term.
-
D.
knownAsBy
Indicates that one entity is referred to or recognized by another entity using a particular name or designation.
-
E.
alternativeHonorificFor
Indicates that one honorific title can be used as an alternative form of address for another honorific.
- 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_69f348df4e048190a4a5a9932ada78d6 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 30, 2026, 11:14 p.m.