Triple
T31566086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khlong Phlu Chong |
E805418
|
entity |
| Predicate | likelyCountry |
P145667
|
FINISHED |
| Object | Cambodia |
—
|
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: Cambodia | Statement: [Khlong Phlu Chong, likelyCountry, Cambodia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: likelyCountry Context triple: [Khlong Phlu Chong, likelyCountry, Cambodia]
-
A.
likelyCountryOfOrigin
Indicates that an entity is probably from, or most commonly associated with originating in, a particular country.
-
B.
possibleCountry
chosen
Indicates that a given country is a plausible or candidate country associated with an entity, without asserting it as the definitive or only country.
-
C.
likelyRegion
Indicates that an entity is probably located in, associated with, or originates from a particular geographic region.
-
D.
associatedCountryMostProminently
Indicates the country with which an entity is most strongly or prominently associated, relative to any other countries it may be linked to.
-
E.
associatedCountry
Indicates that there is a relevant connection or linkage between an entity and a specific country, such as origin, operation, or affiliation.
- 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_69f348d2ee94819091918d1789398c29 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6abaa1f648190b77073771df3bf3b |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 10:17 p.m.