Triple
T15255398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emirate of Sharjah |
E364631
|
entity |
| Predicate | areaRankInUAE |
P67213
|
FINISHED |
| Object | third 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: third largest emirate by area | Statement: [Emirate of Sharjah, areaRankInUAE, third largest emirate by area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaRankInUAE Context triple: [Emirate of Sharjah, areaRankInUAE, third largest emirate by area]
-
A.
emirateRankByAreaInUAE
chosen
Indicates the relative position of an emirate in the United Arab Emirates when all emirates are ordered by their land area.
-
B.
headquartersEmirate
Indicates that an organization or entity has its main headquarters located within a specified emirate.
-
C.
basedInEmirate
Indicates that an entity is located or has its primary base of operations within a specific emirate.
-
D.
connectsEmirate
Indicates a relationship where something (such as a route, border, or link) joins or provides a connection between one emirate and another.
-
E.
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.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f8cb308190933c4478aa096e24 |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca8d1bd48190a4b94f29b425e335 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:13 a.m.