Triple
T1622397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu Dhabi United Group |
E35060
|
entity |
| Predicate | ownerTitle |
P11473
|
FINISHED |
| Object | Sheikh |
—
|
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: Sheikh | Statement: [Abu Dhabi United Group, ownerTitle, Sheikh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownerTitle Context triple: [Abu Dhabi United Group, ownerTitle, Sheikh]
-
A.
ownershipType
Indicates the specific nature or category of the ownership relationship that one entity holds over another.
-
B.
titleHolderHouse
Indicates that a particular house or noble family holds or is associated with a specific title.
-
C.
ownershipModel
Indicates the type or structure of ownership relationship that governs how control, rights, or shares are held between entities.
-
D.
ownsOrLeases
Indicates that one entity has legal rights to use or control another entity either through ownership or through a lease agreement.
-
E.
hasTitleInLaw
chosen
Indicates that an entity holds or is designated by a specific formal title as defined or recognized in law.
- 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf4a0ef748190ae52b9656474c0ef |
completed | March 6, 2026, 3:37 p.m. |
| PD | Predicate disambiguation | batch_69a907c731808190a1d998155041b3c1 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.