Triple
T24063421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernest F. Benjamin |
E596018
|
entity |
| Predicate | locationOfUnitRecruitment |
P9002
|
FINISHED |
| Object | Mandatory Palestine |
—
|
NE NERFINISHED |
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: Mandatory Palestine | Statement: [Ernest F. Benjamin, locationOfUnitRecruitment, Mandatory Palestine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfUnitRecruitment Context triple: [Ernest F. Benjamin, locationOfUnitRecruitment, Mandatory Palestine]
-
A.
garrisonOrRecruitmentArea
Indicates an area designated for stationing military forces or for recruiting personnel into those forces.
-
B.
recruitmentLocation
chosen
Indicates the place or geographic area where the recruitment or hiring of individuals occurs.
-
C.
locationOfSurvivingUnit
Indicates the place where a remaining or still-active unit is currently situated.
-
D.
garrisonOrMobilizationPoint
Indicates a location where military forces are stationed, assembled, or prepared for deployment or mobilization.
-
E.
spawningLocation
Indicates the place or environment where an entity originates, appears, or is generated.
- 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_69e288c25c008190850cf447940ab181 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1da5825548190b94cb6e708617a7d |
completed | April 29, 2026, 10:15 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:39 p.m.