Triple
T26718584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thailand administrative divisions |
E673634
|
entity |
| Predicate | hasSecondLevelUnit |
P53398
|
FINISHED |
| Object | district |
—
|
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: district | Statement: [Thailand administrative divisions, hasSecondLevelUnit, district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondLevelUnit Context triple: [Thailand administrative divisions, hasSecondLevelUnit, district]
-
A.
hasSecondLevel
Indicates that an entity possesses or is associated with a second hierarchical level within a structured system or classification.
-
B.
hasSecondLevelAdministrativeTerritory
chosen
Indicates that an entity possesses or includes a second-level administrative division within its territorial or organizational hierarchy.
-
C.
hasSecondLineUpperLevel
Indicates that an entity possesses a second line located on an upper level or tier relative to a primary or lower line.
-
D.
hasSecondary
Indicates that an entity is associated with an additional or subordinate counterpart beyond its primary one.
-
E.
hasUnitLevel
Indicates that something is associated with, measured at, or applicable to a specific unit level within a larger hierarchy or scale.
- 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_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: April 27, 2026, 3:39 a.m.