Triple
T3199897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emirates |
E67024
|
entity |
| Predicate | positionHeldByTimClark |
P8
|
FINISHED |
| Object | President of Emirates |
—
|
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: President of Emirates | Statement: [Emirates, positionHeldByTimClark, President of Emirates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionHeldByTimClark Context triple: [Emirates, positionHeldByTimClark, President of Emirates]
-
A.
positionHeld
chosen
Indicates that an entity occupies or has occupied a specific role, job, office, or position within an organization or context.
-
B.
titleHolderSince
Indicates the entity that has held a particular title or position continuously from a specified starting time.
-
C.
officeHolderAtTime
Indicates that a person holds or held a particular office or position during a specified time period.
-
D.
heldTitleUntil
Indicates that an entity possessed or held a specific title or position continuously up to a particular end date or point in time.
-
E.
titleHeldDuringPeriod
Indicates that an entity held a specific title or position for the duration of a given time period.
- 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada9ad4b1c8190bc6ad0f025f238c8 |
completed | March 8, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69ad9e05e4f48190adbe4366cdba2349 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.