Triple
T26524422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nunalleq archaeological site |
E670646
|
entity |
| Predicate | yieldsEvidenceOf |
P3650
|
FINISHED |
| Object | house structures |
—
|
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: house structures | Statement: [Nunalleq archaeological site, yieldsEvidenceOf, house structures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yieldsEvidenceOf Context triple: [Nunalleq archaeological site, yieldsEvidenceOf, house structures]
-
A.
providesEvidenceFor
chosen
Indicates that one entity serves as support, justification, or proof for the validity or truth of another entity.
-
B.
hasMaterialEvidence
Indicates that there exists tangible, physical evidence supporting or associated with a particular entity, event, or claim.
-
C.
hasNoEvidenceOf
Indicates that there is no supporting proof, data, or documentation confirming the existence or occurrence of the referenced condition, event, or relationship.
-
D.
usedEvidenceType
Indicates that a particular type or category of evidence was employed or relied upon in a given context or activity.
-
E.
evidenceCited
Indicates that one entity is used as supporting evidence or citation for the claims or content of another entity.
- 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_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6430a93a48190854ce71df680b2fa |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 1:30 a.m.