Triple
T15829152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basat’in Tepegözü Öldürdüğü Boy |
E383821
|
entity |
| Predicate | timeOfFixation |
P106
|
FINISHED |
| Object | medieval period |
—
|
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 period | Statement: [Basat’in Tepegözü Öldürdüğü Boy, timeOfFixation, medieval period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfFixation Context triple: [Basat’in Tepegözü Öldürdüğü Boy, timeOfFixation, medieval period]
-
A.
fixation
Indicates an intense, often obsessive focus or attachment of one entity toward another entity, object, or idea.
-
B.
focusPeriod
chosen
Indicates the specific time span during which attention, activity, or analysis is concentrated on something.
-
C.
timePerception
Indicates how an entity subjectively experiences, interprets, or estimates the passage and duration of time.
-
D.
eyeUsage
Indicates how an entity uses or engages its eyes in relation to another entity or activity.
-
E.
focusPosition
Indicates the spatial or logical position at which attention, concentration, or processing is currently directed within a given context.
- 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.