Triple
T25442711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inanjid beylik |
E637548
|
entity |
| Predicate | politicalPredecessor |
P46407
|
FINISHED |
| Object | Seljuk Sultanate of Rum |
—
|
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: Seljuk Sultanate of Rum | Statement: [Inanjid beylik, politicalPredecessor, Seljuk Sultanate of Rum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalPredecessor Context triple: [Inanjid beylik, politicalPredecessor, Seljuk Sultanate of Rum]
-
A.
predecessorInOffice
Indicates that one officeholder directly held a particular position before another officeholder in an official succession.
-
B.
predecessorHeadOfStateRepresentative
Indicates that one entity previously served as the head-of-state representative immediately before the other entity in a given office or role.
-
C.
politicalPrecursorOf
chosen
Indicates that one political entity, movement, or event served as a significant antecedent or foundation that influenced or led to the development of another.
-
D.
historicalEntityPredecessor
Indicates that one historical entity existed or held a role before another, serving as its predecessor in time or sequence.
-
E.
predecessorSpeech
Indicates that one speech event directly precedes another in sequence or order.
- 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_69e75db6c97081908178383fa632b193 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5ffc74fa481909b4fe24a9337f9eb |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7f99dc08190afcfb3bc4dfbec1d |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 21, 2026, 2 p.m.