Triple
T18793623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pre-monarchic Israel |
E459577
|
entity |
| Predicate | hasSocioEconomicBase |
P92219
|
FINISHED |
| Object | pastoralism |
—
|
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: pastoralism | Statement: [pre-monarchic Israel, hasSocioEconomicBase, pastoralism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSocioEconomicBase Context triple: [pre-monarchic Israel, hasSocioEconomicBase, pastoralism]
-
A.
socioEconomicBase
chosen
Indicates a foundational socio-economic relationship where one entity serves as the economic or social basis, support, or underlying structure for another.
-
B.
hasSocioEconomicContext
Indicates the broader social and economic conditions or circumstances within which an entity, event, or relationship occurs or is interpreted.
-
C.
hasEconomicLevel
Indicates that one entity possesses, is classified by, or is associated with a particular economic status or level.
-
D.
hasCurrentEconomicBase
Indicates that an entity presently relies on a specified economic sector, activity, or resource as the primary foundation of its economy.
-
E.
hasSocioeconomicIssue
Indicates that an entity is affected by, associated with, or involved in a socioeconomic problem or challenge.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a01cc0c0819098ef4326e82ff524 |
completed | April 20, 2026, 3:40 a.m. |
| PD | Predicate disambiguation | batch_69e48d16dd34819096e096d0c0e4c15c |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:53 a.m.