Triple
T4378881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubai Derby |
E99077
|
entity |
| Predicate | localSignificance |
P12510
|
FINISHED |
| Object | fiercely contested |
—
|
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: fiercely contested | Statement: [Dubai Derby, localSignificance, fiercely contested]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localSignificance Context triple: [Dubai Derby, localSignificance, fiercely contested]
-
A.
hasRegionalSignificance
chosen
Indicates that something holds particular importance, influence, or relevance within a specific geographic region.
-
B.
hasParticularSignificanceFor
Indicates that something holds a special, notable, or contextually important relevance or impact for a particular entity or situation.
-
C.
significance
Indicates that one entity holds particular importance, influence, or meaningful impact in relation to another entity or context.
-
D.
typeOfSignificance
Indicates that one entity specifies the nature or category of importance, relevance, or significance that another entity possesses.
-
E.
navigationSignificance
Indicates the degree to which something serves as a meaningful aid or reference point for determining or following a route or direction.
- 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_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35240092c81908e26ff607d665e7a |
completed | March 12, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69b34f557fe8819085032bf7f0cea5dc |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:18 p.m.