Triple
T24320958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Said |
E612960
|
entity |
| Predicate | historicalPredecessorEntityRuled |
P126723
|
FINISHED |
| Object | Omani Empire |
—
|
NE NERFINISHED |
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: Omani Empire | Statement: [Al Said, historicalPredecessorEntityRuled, Omani Empire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalPredecessorEntityRuled Context triple: [Al Said, historicalPredecessorEntityRuled, Omani Empire]
-
A.
historicalEntityPredecessor
Indicates that one historical entity existed or held a role before another, serving as its predecessor in time or sequence.
-
B.
hasFormerRuler
Indicates that an entity previously served as the ruler of another entity but no longer holds that ruling position.
-
C.
predecessorAsSupremeRuler
chosen
Indicates that one entity previously held the position of supreme ruler immediately before another entity.
-
D.
predecessorAsEasternRuler
Indicates that one entity previously held the position of eastern ruler before another entity assumed that same role.
-
E.
predecessorAsLocalRuler
Indicates that one entity previously held the position of local ruler immediately before another entity in a given domain or territory.
- 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_69e2d7da491c8190b6e6218af50923db |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292ab2fa08190bc19c3edc0a1a9b2 |
completed | April 29, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69f1c45f45888190a9ccc225906c34bd |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:50 a.m.