Triple
T5623594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Las Vegas |
E147665
|
entity |
| Predicate | languageOfTheme |
P65481
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [Paris Las Vegas, languageOfTheme, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfTheme Context triple: [Paris Las Vegas, languageOfTheme, French]
-
A.
languageOfProduct
Indicates the language in which a product is written, labeled, presented, or otherwise made available.
-
B.
languageSpecifies
Indicates that one entity defines or constrains the syntax, semantics, or usage rules that govern how another language or linguistic system is expressed or interpreted.
-
C.
governingLanguage
Indicates the language that holds official or authoritative status over a given entity, such as a region, organization, or document.
-
D.
languageOfEvent
Indicates the language in which an event is conducted, presented, or communicated.
-
E.
languageOfTranslations
Indicates that one entity is the language into which another entity (such as a text or work) has been translated.
- 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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02214b4948190b71a9f59499092f6 |
completed | March 22, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69c01b1d4b108190846ce586dc783acf |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f40df64819089a659ea00a835ef |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:40 p.m.