Triple
T24054827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watari Town |
E595767
|
entity |
| Predicate | primarySectorShare |
P86518
|
FINISHED |
| Object | significant |
—
|
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: significant | Statement: [Watari Town, primarySectorShare, significant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySectorShare Context triple: [Watari Town, primarySectorShare, significant]
-
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.
hasTertiaryEconomicSector
Indicates that an entity participates in or possesses activities belonging to the tertiary (service) sector of the economy, such as services rather than primary or secondary production.
-
D.
economicSectorDominant
chosen
Indicates that one economic sector holds a leading or controlling position relative to others in terms of influence, output, or importance.
-
E.
typicalConstituentSector
Indicates that something is a usual or characteristic sector that forms part of a larger whole or system.
- 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_69e288c184b081909f1f1751fb8e299a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d9d551288190a2b3b6c8c4f3c1b5 |
completed | April 29, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:22 p.m.