Triple
T33999455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TV3 |
E871774
|
entity |
| Predicate | politicalDebateProgram |
P15244
|
FINISHED |
| Object | FAQS (Frequently Asked Questions) |
—
|
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: FAQS (Frequently Asked Questions) | Statement: [TV3, politicalDebateProgram, FAQS (Frequently Asked Questions)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalDebateProgram Context triple: [TV3, politicalDebateProgram, FAQS (Frequently Asked Questions)]
-
A.
debateOrganizer
Indicates that one entity is responsible for organizing, coordinating, or managing a debate involving another entity or entities.
-
B.
broadcastsDebates
chosen
Indicates that one entity transmits or airs debates for an audience, typically via a communication medium such as television, radio, or online platforms.
-
C.
mainDebateTopic
Indicates that a specified subject or issue is the primary focus or central topic of a particular debate or discussion.
-
D.
canDebate
Indicates that one entity has the ability or permission to engage in a debate or argumentative discussion with another entity.
-
E.
enteredPoliticalDebateIn
Indicates that an entity took part in a political debate that occurred in a specified place or context.
- 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_69f3499f8cbc81908de6ec89fa91ea8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe6b7c785c8190aaab06019f571434 |
completed | May 8, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fe68edef20819081c77f9607b944dd |
completed | May 8, 2026, 10:51 p.m. |
Created at: May 1, 2026, 1:50 a.m.