Triple
T24677355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atabillos |
E611023
|
entity |
| Predicate | hasPossibleReferentType |
P114972
|
FINISHED |
| Object | lineage |
—
|
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: lineage | Statement: [Atabillos, hasPossibleReferentType, lineage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPossibleReferentType Context triple: [Atabillos, hasPossibleReferentType, lineage]
-
A.
possibleTypeOfReferent
chosen
Indicates that something could be a potential or candidate type or category to which a given referent may belong, without asserting that it definitively is that type.
-
B.
hasReferentKnownFor
Indicates that the referent (the thing being referred to) is known or notable for a particular characteristic, role, or achievement.
-
C.
hasTypeOfReference
Indicates that one entity uses or is associated with a particular kind or category of reference (such as a citation, pointer, or referential link) to another entity.
-
D.
hasNotableType
Indicates that an entity is associated with a specific notable category or type that characterizes its significance or role.
-
E.
hasLiteralReferent
Indicates that a linguistic expression directly refers to a specific, concrete entity or value rather than to an abstract or interpreted meaning.
- 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_69e2c4d5c2dc8190ac857dea25ec6ce9 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442a977b08190b44eac040cb90211 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 3:06 a.m.