Triple
T32652923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finch |
E834784
|
entity |
| Predicate | hasSemanticOrigin |
P3654
|
FINISHED |
| Object | nickname based on a bird |
—
|
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: nickname based on a bird | Statement: [Finch, hasSemanticOrigin, nickname based on a bird]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSemanticOrigin Context triple: [Finch, hasSemanticOrigin, nickname based on a bird]
-
A.
hasSemantics
Indicates that one entity carries or encodes the meaning, interpretation, or semantic content associated with another entity.
-
B.
hasSemanticsDefinedBy
Indicates that the meaning or interpretation of one entity is specified, constrained, or determined by another entity.
-
C.
hasOriginIn
chosen
Indicates that something begins, arises, or is derived from a specified source, place, or cause.
-
D.
hasOriginFeature
Indicates that an entity possesses a specific characteristic, attribute, or feature related to its origin or source.
-
E.
hasLexicalCategoryOfOrigin
Indicates that one entity originates from, or is derived based on, the lexical category (such as noun, verb, adjective, etc.) 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_69f3492f72248190ba42fa596aea50e1 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff5803c02c81908b63067119f5e684 |
completed | May 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69ff576d8b308190b49a1e072a0ae661 |
completed | May 9, 2026, 3:49 p.m. |
Created at: May 1, 2026, 1:08 a.m.