Triple
T5899378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emirate of Dubai |
E131180
|
entity |
| Predicate | emirateRankByPopulationInUAE |
P1026
|
FINISHED |
| Object | most populous emirate |
—
|
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: most populous emirate | Statement: [Emirate of Dubai, emirateRankByPopulationInUAE, most populous emirate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emirateRankByPopulationInUAE Context triple: [Emirate of Dubai, emirateRankByPopulationInUAE, most populous emirate]
-
A.
emirate
Indicates that one entity is an emirate, i.e., a political territory or state ruled by an emir, in relation to another referenced entity.
-
B.
emirateRuled
Indicates that a particular emirate is governed or ruled by a specified ruler or authority.
-
C.
connectsEmirate
Indicates a relationship where something (such as a route, border, or link) joins or provides a connection between one emirate and another.
-
D.
numberOfEmirates
Indicates the quantitative count of emirates associated with or contained within a given entity.
-
E.
hasPopulationRank
chosen
Indicates the relative position of an entity in an ordered list based on the size of its population.
- 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_69c0085864a88190a569c05ff7d65f29 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0334dc8248190b7394dcece362d52 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:58 p.m.