Triple
T17061623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Provincial Government of Nueva Ecija |
E413972
|
entity |
| Predicate | primarySectorFocus |
P93731
|
FINISHED |
| Object | agriculture |
—
|
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: agriculture | Statement: [Provincial Government of Nueva Ecija, primarySectorFocus, agriculture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySectorFocus Context triple: [Provincial Government of Nueva Ecija, primarySectorFocus, agriculture]
-
A.
primarySectorActivity
Indicates the main industry or sector in which an entity primarily conducts its activities or operations.
-
B.
primarySectorCoverage
Indicates that one entity serves as the main or dominant sector in which another entity operates, focuses, or provides coverage.
-
C.
primaryTrade
Indicates that the referenced activity or exchange is the main or most significant trade relationship associated with the entities involved.
-
D.
agriculturalFocus
chosen
Indicates that an entity is primarily concerned with, oriented toward, or specializing in agriculture or farming-related activities.
-
E.
primaryIndustrySeason
Indicates the main time of year or season during which an industry is most active or operates at its peak.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7dea7481909e3e0bc836d27336 |
completed | April 18, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:34 a.m.