Triple
T27281422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homo antecessor |
E688340
|
entity |
| Predicate | binomialAuthorityYear |
P160791
|
FINISHED |
| Object | 1997 |
—
|
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: 1997 | Statement: [Homo antecessor, binomialAuthorityYear, 1997]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: binomialAuthorityYear Context triple: [Homo antecessor, binomialAuthorityYear, 1997]
-
A.
binomialAuthorityYear
chosen
Indicates the year in which the binomial (two-part scientific) name of a taxon was formally published or established by its authority.
-
B.
authorizationYear
Indicates the year in which an official approval, permission, or authorization for something was granted.
-
C.
ordinationYear
Indicates the year in which an individual was formally ordained to a religious office or role.
-
D.
titleGrantedInYear
Indicates that a particular title was formally granted or conferred in a specified year.
-
E.
definedInYear
Indicates that something (such as an entity, concept, or item) was formally established, specified, or created in a particular calendar year.
- 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_69ef355998e08190bdff849e8f33adce |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f62751c1fc81908d1efe3eb9a2aa2b |
completed | May 2, 2026, 4:33 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 11:07 a.m.