Triple
T15828899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirse Khan Oglu Bugach Khan Boyu |
E383815
|
entity |
| Predicate | timePeriodOfFixation |
P302
|
FINISHED |
| Object | medieval era |
—
|
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: medieval era | Statement: [Dirse Khan Oglu Bugach Khan Boyu, timePeriodOfFixation, medieval era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfFixation Context triple: [Dirse Khan Oglu Bugach Khan Boyu, timePeriodOfFixation, medieval era]
-
A.
focusPeriod
Indicates the specific time span during which attention, activity, or analysis is concentrated on something.
-
B.
fixation
Indicates an intense, often obsessive focus or attachment of one entity toward another entity, object, or idea.
-
C.
timePeriod
chosen
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
D.
timePerception
Indicates how an entity subjectively experiences, interprets, or estimates the passage and duration of time.
-
E.
focusPeriodStart
Indicates the point in time at which a specified focus period or interval begins.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e62aba8819090978801f4df73fe |
completed | April 16, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69e005418f588190824d91ff7974dada |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.