Triple
T4119697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italo-Celtic group |
E90380
|
entity |
| Predicate | influencesDebateOn |
P9239
|
FINISHED |
| Object | internal subgrouping of Indo-European |
—
|
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: internal subgrouping of Indo-European | Statement: [Italo-Celtic group, influencesDebateOn, internal subgrouping of Indo-European]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencesDebateOn Context triple: [Italo-Celtic group, influencesDebateOn, internal subgrouping of Indo-European]
-
A.
influencedDiscussionOf
chosen
Indicates that one entity had an effect on the way another entity was discussed, framed, or debated.
-
B.
relatedToDebate
Indicates a relationship in which something is connected or relevant to a debate, discussion, or argumentative exchange.
-
C.
enteredPoliticalDebateIn
Indicates that an entity took part in a political debate that occurred in a specified place or context.
-
D.
inAcademicDebate
Indicates that one entity is engaged in a formal, scholarly argument or discussion with another entity, typically following academic norms and methods of reasoning.
-
E.
hasLongTermDebateOn
Indicates that there is an ongoing, extended period of discussion, disagreement, or argument concerning a particular topic or issue.
- 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_69aed95c080881908125e30c5dcdc6f8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0246e40081908ad6741a830ca68e |
completed | March 9, 2026, 5:24 p.m. |
| PD | Predicate disambiguation | batch_69af01867698819098e4144634b2ec4f |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:41 p.m.