Triple
T6913372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taoyuan City |
E159989
|
entity |
| Predicate | upgradedToSpecialMunicipalityOn |
P26895
|
FINISHED |
| Object | 2014-12-25 |
—
|
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: 2014-12-25 | Statement: [Taoyuan City, upgradedToSpecialMunicipalityOn, 2014-12-25]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: upgradedToSpecialMunicipalityOn Context triple: [Taoyuan City, upgradedToSpecialMunicipalityOn, 2014-12-25]
-
A.
specialMunicipality
Indicates that an entity is designated as a special municipality, typically having a distinct administrative or legal status compared to regular municipalities.
-
B.
wasUpgradedToMetropolitanCityIn
chosen
Indicates that a city or town was officially elevated in status to a metropolitan city in a specified year or on a specific date.
-
C.
unitaryAuthoritySince
Indicates the point in time from which an entity has held the status or role of a unitary authority.
-
D.
formerMunicipalityOf
Indicates that an entity was previously an independent municipality that has since been merged into or replaced by the referenced municipality.
-
E.
municipalityEstablished
Indicates that a municipality was officially created or founded at a specific point in time.
- 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_69c6883ab1008190a07129ff06f625d9 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9dbca6c819091d8b65e54ada5d9 |
completed | March 27, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b93d688190a297244ce81b67ac |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:25 p.m.