Triple
T32291925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arab transport workers |
E824985
|
entity |
| Predicate | keySegmentOf |
P173934
|
FINISHED |
| Object | Palestinian Arab labor force |
—
|
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: Palestinian Arab labor force | Statement: [Arab transport workers, keySegmentOf, Palestinian Arab labor force]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keySegmentOf Context triple: [Arab transport workers, keySegmentOf, Palestinian Arab labor force]
-
A.
keySection
Indicates that one section is the primary or most important part within a larger structure or document.
-
B.
keyOfPart
Indicates that one entity functions as the key or identifier used to reference, access, or distinguish a specific part of another entity.
-
C.
keyOf
Indicates that one entity functions as the key (identifier or access token) associated with another entity.
-
D.
keySector
Indicates that an entity operates in, belongs to, or is primarily associated with a particularly important or strategic sector within a broader domain or economy.
-
E.
keyComponent
Indicates that one entity is an essential or foundational part required for the proper function, structure, or identity of another entity.
- F. None of above. chosen
Provenance (4 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_69f349101b788190b4f14884dc7d1ed2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bd3500608190ba9e172c0458ff9f |
completed | May 3, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b960ca4081909a77690c2b122f5e |
completed | May 3, 2026, 2:56 a.m. |
Created at: May 1, 2026, 12:44 a.m.