Triple
T3715132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ankara Castle |
E81508
|
entity |
| Predicate | materialEvidence |
P3168
|
FINISHED |
| Object | inscriptions from different periods |
—
|
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: inscriptions from different periods | Statement: [Ankara Castle, materialEvidence, inscriptions from different periods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialEvidence Context triple: [Ankara Castle, materialEvidence, inscriptions from different periods]
-
A.
providesEvidenceFor
Indicates that one entity serves as support, justification, or proof for the validity or truth of another entity.
-
B.
materialProvidedFor
Indicates that one entity supplies or makes available a material for use, processing, or incorporation by another entity or purpose.
-
C.
usedEvidenceType
chosen
Indicates that a particular type or category of evidence was employed or relied upon in a given context or activity.
-
D.
material
Indicates that one entity is physically composed of, made from, or constructed using the substance or material represented by the other entity.
-
E.
materialInvolved
Indicates that a particular material participates in, is used by, or is otherwise involved in the referenced process, event, or relationship.
- 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc9ce253c8190ada8eaa395fd3d5c |
completed | March 8, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69adc0436e508190909ec4a3e8443aef |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:33 p.m.