Triple
T536762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Arab Emirates |
E12342
|
entity |
| Predicate | numberOfEmirates |
P16567
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [United Arab Emirates, numberOfEmirates, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfEmirates Context triple: [United Arab Emirates, numberOfEmirates, 7]
-
A.
numberOfPlanes
Indicates the quantity of planes associated with or involved in a given entity or situation.
-
B.
numberOfMemberAirlines
Indicates the total count of airlines that are members of a specified airline alliance or organization.
-
C.
numberOfFlights
Indicates the total count of flights associated with a given entity or within a specified context.
-
D.
numberOfHijackers
Indicates the quantity of individuals who carried out or attempted to carry out a hijacking in the described event or context.
-
E.
nationalAirline
Indicates that an airline serves as the official or primary flag carrier of a particular country.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4985e51908190a34aa82ea9dbee1e |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b51ff08190a39f4168fd9a7ddf |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a49857e1148190aa782b82675cf0b5 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:32 p.m.