Triple
T37902834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sino-Albanian split |
E945462
|
entity |
| Predicate | languageOfDispute |
P203670
|
FINISHED |
| Object | ideological polemics in party newspapers |
—
|
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: ideological polemics in party newspapers | Statement: [Sino-Albanian split, languageOfDispute, ideological polemics in party newspapers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfDispute Context triple: [Sino-Albanian split, languageOfDispute, ideological polemics in party newspapers]
-
A.
languageOfIssue
Indicates the language in which a particular item, document, or resource is issued or published.
-
B.
languageOfJurisdiction
Indicates the language officially used for legal and administrative purposes within a given jurisdiction.
-
C.
languageOfNegotiation
Indicates that a specified language is used as the medium of communication during a negotiation between parties.
-
D.
languageInLaw
Indicates that a specific language is used as the official or operative language within a particular law or legal document.
-
E.
languageOfPetition
Indicates the language in which a petition is written, submitted, or officially recorded.
- 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_69f76ef20bb0819088b5b6ceecb0b8fc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a01c303af6081909c229b2c8e91c680 |
completed | May 11, 2026, 11:52 a.m. |
| PD | Predicate disambiguation | batch_6a01c28ebf54819094318c447d8c7943 |
completed | May 11, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_6a01c302fe4081908ecbff9ae374f80f |
completed | May 11, 2026, 11:52 a.m. |
Created at: May 3, 2026, 4:20 p.m.