Triple
T12934292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martine Robbeets |
E309463
|
entity |
| Predicate | hasProposed |
P107577
|
FINISHED |
| Object | Transeurasian language family as a genealogical unit |
—
|
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: Transeurasian language family as a genealogical unit | Statement: [Martine Robbeets, hasProposed, Transeurasian language family as a genealogical unit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProposed Context triple: [Martine Robbeets, hasProposed, Transeurasian language family as a genealogical unit]
-
A.
hasProposal
Indicates that an entity possesses, is associated with, or is the subject of a specific proposal.
-
B.
hasProposedResolution
Indicates that an entity has put forward a specific resolution or solution for consideration or decision regarding another entity or issue.
-
C.
hasProposedRole
Indicates that one entity has suggested or put forward a specific role or position for another entity.
-
D.
hasProposedOutcome
Indicates that an action, decision, or process is associated with a suggested or anticipated result that is being put forward but not yet realized or confirmed.
-
E.
hasProposedLanguage
Indicates that an entity has put forward or suggested a particular language, typically as a candidate for use, adoption, or standardization.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97db69f548190a1a693bc0d6c191a |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97e5811f481908178fac6d2e0efcd |
completed | April 10, 2026, 10:48 p.m. |
Created at: April 9, 2026, 5:42 p.m.