Triple
T5899379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emirate of Dubai |
E131180
|
entity |
| Predicate | emirateRankByAreaInUAE |
P67213
|
FINISHED |
| Object | second largest emirate by area |
—
|
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: second largest emirate by area | Statement: [Emirate of Dubai, emirateRankByAreaInUAE, second largest emirate by area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emirateRankByAreaInUAE Context triple: [Emirate of Dubai, emirateRankByAreaInUAE, second largest emirate by area]
-
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.
rankInWorldByArea
Indicates the position of an entity in a global ordering based on its total area size.
-
E.
rankInRussiaByArea
Indicates the position of an entity in an ordered list of entities in Russia sorted by their area size.
- 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_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. |
| PDg | Predicate description generation | batch_69c0400dbec08190b2ef73689b2c0c31 |
completed | March 22, 2026, 7:16 p.m. |
Created at: March 22, 2026, 3:58 p.m.