Triple
T32118851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | massar turban |
E820309
|
entity |
| Predicate | regionalUse |
P908
|
FINISHED |
| Object | Arabian Peninsula |
—
|
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: Arabian Peninsula | Statement: [massar turban, regionalUse, Arabian Peninsula]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionalUse Context triple: [massar turban, regionalUse, Arabian Peninsula]
-
A.
usedInRegion
chosen
Indicates that something is utilized or applied within a specific geographic or administrative region.
-
B.
regionalType
Indicates the classification of a region according to its designated type or category within a broader geographic or administrative system.
-
C.
isRegional
Indicates that something pertains to, is characteristic of, or is limited to a specific geographic region or area.
-
D.
usesRegionType
Indicates that one entity operates within, is configured for, or otherwise makes use of a specified type of region.
-
E.
modernUsageRegion
Indicates the geographic region where something is currently or most commonly used in modern times.
- 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_69f34902d42c819083a8e6bba9a8bb9a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fec5c503808190bde0b1829ea43071 |
completed | May 9, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69fec535dd6c8190a6ab85201f5a04a9 |
completed | May 9, 2026, 5:25 a.m. |
Created at: May 1, 2026, 12:28 a.m.