Triple
T29532680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | People's Committee of Hợp Thanh Commune |
E749247
|
entity |
| Predicate | sectoralManagement |
P78090
|
FINISHED |
| Object | education at commune level |
—
|
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: education at commune level | Statement: [People's Committee of Hợp Thanh Commune, sectoralManagement, education at commune level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectoralManagement Context triple: [People's Committee of Hợp Thanh Commune, sectoralManagement, education at commune level]
-
A.
sectorManaged
chosen
Indicates that one entity is responsible for administering, overseeing, or directing the operations of a particular sector.
-
B.
sectorOfOperation
Indicates the industry, domain, or field within which an entity conducts its primary activities or operations.
-
C.
sectoralEngagement
Indicates engagement or involvement between entities within a specific sector or industry context.
-
D.
sectoralOrganizations
Indicates that there is an organizational relationship specifically structured around a particular sector or industry.
-
E.
sector
Indicates that an entity operates in, belongs to, or is associated with a particular economic or industrial sector.
- 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_69f0bd47abb081909bd6e6a33d770fd8 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66cc3679c8190be65a057a4c6502d |
completed | May 2, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 4:54 p.m.