Triple
T11068421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islam in Yemen |
E261682
|
entity |
| Predicate | influencesFestivals |
P38636
|
FINISHED |
| Object | religious festivals in Yemen |
—
|
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: religious festivals in Yemen | Statement: [Islam in Yemen, influencesFestivals, religious festivals in Yemen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencesFestivals Context triple: [Islam in Yemen, influencesFestivals, religious festivals in Yemen]
-
A.
festivalAttracts
Indicates that a festival draws or brings in attendees, participants, or interest toward itself.
-
B.
festivalFocus
Indicates that a festival is centered around, dedicated to, or thematically focused on a particular subject, activity, or feature.
-
C.
festivalObserved
chosen
Indicates that a particular festival is celebrated, observed, or commemorated by an entity (such as a person, group, or community).
-
D.
determinesFestival
Indicates that one entity decides, defines, or selects which festival is applicable or will occur for another entity or context.
-
E.
festivalActivity
Indicates that an entity is an event, performance, or engagement that takes place as part of a festival’s organized program.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7992164d88190a01ed567b2529227 |
completed | April 9, 2026, 12:18 p.m. |
| PD | Predicate disambiguation | batch_69d74411d9e881908c0eeafa0f38e4b6 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.