Triple
T13690241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ancient city of Jezreel |
E328240
|
entity |
| Predicate | currentUseOfArea |
P16008
|
FINISHED |
| Object | agricultural land |
—
|
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: agricultural land | Statement: [ancient city of Jezreel, currentUseOfArea, agricultural land]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentUseOfArea Context triple: [ancient city of Jezreel, currentUseOfArea, agricultural land]
-
A.
currentSiteUse
chosen
Indicates how a site is presently being used or the function it currently serves.
-
B.
primaryCurrentUse
Indicates the main way something is currently being used or its principal present function.
-
C.
primaryUseArea
Indicates the main functional area or domain in which an entity is primarily used or applied.
-
D.
usedBaseArea
Indicates that one entity makes use of the base area (surface or footprint) of another entity for its function or calculation.
-
E.
hasDayUseArea
Indicates that a location or facility includes an area designated for daytime, non-overnight public use.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc6721c248190ac48491b5f39c8f0 |
completed | April 12, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69dbbe9059488190a8113177c83e1481 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:53 p.m.