Triple
T24021402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Race to Dubai |
E594830
|
entity |
| Predicate | regionOfFinal |
P154893
|
FINISHED |
| Object | Middle East |
—
|
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: Middle East | Statement: [Race to Dubai, regionOfFinal, Middle East]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfFinal Context triple: [Race to Dubai, regionOfFinal, Middle East]
-
A.
regionFrom
Indicates that something originates from, is derived from, or is associated with a particular geographic or administrative region.
-
B.
regionOfWinner
Indicates the geographic area or region that the winner of a competition, contest, or event comes from.
-
C.
region1
Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
-
D.
occupiedRegion
Indicates that an entity has taken control of and is currently holding a specific geographic area or region.
-
E.
coreRegionOf
Indicates that one entity constitutes the central or most essential part of another entity’s structure, area, or domain.
- 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_69e288be2c288190a3a46006945557f7 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d5aaf8588190b266557d573504b8 |
completed | April 29, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f17c28b684819084eea522126463f8 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 9:47 p.m.