Triple
T15737485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polistes metricus |
E381509
|
entity |
| Predicate | relevanceToResearch |
P89457
|
FINISHED |
| Object | model for studies of social behavior |
—
|
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: model for studies of social behavior | Statement: [Polistes metricus, relevanceToResearch, model for studies of social behavior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relevanceToResearch Context triple: [Polistes metricus, relevanceToResearch, model for studies of social behavior]
-
A.
researchValue
chosen
Indicates that something is considered useful, important, or relevant for research or scholarly investigation.
-
B.
usesResearchSubject
Indicates that one entity employs or utilizes another entity as a research subject in a study or investigation.
-
C.
usedResearchFrom
Indicates that one entity based its work, findings, or outputs on research conducted or provided by another entity.
-
D.
hasResearchImportance
Indicates that something holds significance or value within a research context, such as contributing meaningfully to scientific or scholarly investigation.
-
E.
relatedStudy
Indicates that one study is connected or relevant to another study, typically through shared topics, methods, or findings.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0052c6208819098165d61d378d13b |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:46 a.m.