Triple
T26831435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sop Moei District |
E675509
|
entity |
| Predicate | hasRemoteVillages |
P55240
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Sop Moei District, hasRemoteVillages, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRemoteVillages Context triple: [Sop Moei District, hasRemoteVillages, true]
-
A.
hasPrimaryVillages
Indicates that an entity (such as a region or administrative unit) possesses or is associated with one or more main or principal villages.
-
B.
hasVillage
Indicates that an entity possesses, contains, or is associated with a village.
-
C.
hasRemoteCommunities
chosen
Indicates that an entity maintains or is associated with communities located in distant or geographically isolated areas.
-
D.
hasPopularVillage
Indicates that an entity is associated with or contains a village that is widely known, well-liked, or frequently visited.
-
E.
hasNearbyTraditionalVillage
Indicates that an entity is located close to or in the vicinity of a traditional village.
- 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_69eee9b776448190993a60b67fcc9545 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69fe0d165a48819098b854318a50d76c |
completed | May 8, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69fe0931002481908a95b34f95e9f64e |
completed | May 8, 2026, 4:02 p.m. |
Created at: April 27, 2026, 5:01 a.m.