Triple
T1584526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aves |
E34033
|
entity |
| Predicate | hasScientificStudy |
P32891
|
FINISHED |
| Object | ornithology |
—
|
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: ornithology | Statement: [Aves, hasScientificStudy, ornithology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScientificStudy Context triple: [Aves, hasScientificStudy, ornithology]
-
A.
hasResearchStatus
Indicates that an entity holds a particular stage or condition within a research process, such as planned, in progress, completed, or published.
-
B.
hasResearchUse
Indicates that an entity is used for, or associated with, conducting research activities or purposes.
-
C.
hasStudyModel
Indicates that an entity is associated with, or defined by, a particular study model used for analysis, simulation, or representation.
-
D.
isScientific
Indicates that something pertains to or is based on systematic scientific methods, principles, or knowledge.
-
E.
hasCaseStudy
Indicates that one entity is documented, illustrated, or analyzed by a specific case study associated with it.
- F. None of above. chosen
Provenance (4 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abacfb1144819080c5687175aba1e1 |
completed | March 7, 2026, 4:43 a.m. |
| PD | Predicate disambiguation | batch_69aa61b0f5bc8190b1dc272990a59c13 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69abacf991148190b20521c063f93bfd |
completed | March 7, 2026, 4:43 a.m. |
Created at: March 4, 2026, 7:27 p.m.