Triple
T5536364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khirbet al-Mudayna inscriptions |
E145171
|
entity |
| Predicate | typeOfEvidence |
P3168
|
FINISHED |
| Object | epigraphic evidence |
—
|
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: epigraphic evidence | Statement: [Khirbet al-Mudayna inscriptions, typeOfEvidence, epigraphic evidence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfEvidence Context triple: [Khirbet al-Mudayna inscriptions, typeOfEvidence, epigraphic evidence]
-
A.
usedEvidenceType
chosen
Indicates that a particular type or category of evidence was employed or relied upon in a given context or activity.
-
B.
providesEvidenceFor
Indicates that one entity serves as support, justification, or proof for the validity or truth of another entity.
-
C.
standardOfProof
Indicates the level or degree of certainty required to establish that a claim or allegation is true in a given context.
-
D.
hasNoEvidenceOf
Indicates that there is no supporting proof, data, or documentation confirming the existence or occurrence of the referenced condition, event, or relationship.
-
E.
typeOfInvestigation
Indicates the specific kind or category of investigation being conducted or referred to in the 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fb07e748190bea74bbde2d7b8ba |
completed | March 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69c01b0c50e48190a1b03ecd20ca440b |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:34 p.m.