Triple
T26718599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thailand administrative divisions |
E673634
|
entity |
| Predicate | hasSpecialCaseUnit |
P1198
|
FINISHED |
| Object | Bangkok |
—
|
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: Bangkok | Statement: [Thailand administrative divisions, hasSpecialCaseUnit, Bangkok]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpecialCaseUnit Context triple: [Thailand administrative divisions, hasSpecialCaseUnit, Bangkok]
-
A.
hasSpecialUnit
chosen
Indicates that an entity possesses or is associated with a distinct, designated unit that has a special role, function, or status.
-
B.
specialCaseOf
Indicates that one entity represents a more specific, exceptional, or restricted instance of the general situation, rule, or relationship expressed by another entity.
-
C.
hasSpecial
Indicates that an entity possesses or is associated with a distinctive or exceptional attribute, status, or feature compared to others.
-
D.
hasUnitFeature
Indicates that something possesses a specific unit-related characteristic or attribute, such as a measurable feature expressed in defined units.
-
E.
hasSpecialCategory
Indicates that an entity is associated with a designated special or exceptional category distinct from its standard classifications.
- 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_69eecda481d08190aea69f2f7c745f56 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 27, 2026, 3:39 a.m.