Triple
T26718627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thailand administrative divisions |
E673634
|
entity |
| Predicate | BangkokHeadedBy |
P161159
|
FINISHED |
| Object | Governor of Bangkok |
—
|
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: Governor of Bangkok | Statement: [Thailand administrative divisions, BangkokHeadedBy, Governor of Bangkok]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BangkokHeadedBy Context triple: [Thailand administrative divisions, BangkokHeadedBy, Governor of Bangkok]
-
A.
yearBroughtToBangkok
Indicates the specific year in which something or someone was brought to Bangkok.
-
B.
andraChansenCity
Indicates that a given city is the location where the "Andra Chansen" (Second Chance) round of a competition takes place.
-
C.
باب
Indicates a relationship where one entity serves as a door, gate, or entry point to another entity, allowing or controlling access between them.
-
D.
distanceFromBangkok
Indicates the spatial distance between a given location and the city of Bangkok.
-
E.
имаКамбанария
Indicates that a building or structure possesses a bell tower as one of its architectural features.
- F. None of above. chosen
Provenance (4 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_69f617ff3a808190bb5cba40ba93830e |
completed | May 2, 2026, 3:27 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f6106d346c8190868489f36c65b6ec |
completed | May 2, 2026, 2:55 p.m. |
Created at: April 27, 2026, 3:39 a.m.