Triple
T11538658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Youm-e-Takbeer |
E273612
|
entity |
| Predicate | religiousPhraseOrigin |
P99586
|
FINISHED |
| Object | Takbeer (Allahu Akbar) |
—
|
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: Takbeer (Allahu Akbar) | Statement: [Youm-e-Takbeer, religiousPhraseOrigin, Takbeer (Allahu Akbar)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousPhraseOrigin Context triple: [Youm-e-Takbeer, religiousPhraseOrigin, Takbeer (Allahu Akbar)]
-
A.
historicalOriginMeaning
Indicates that one entity explains the original historical source or derivational meaning of another entity.
-
B.
religiousMovementOrigin
Indicates that a religious movement began, was founded, or first emerged in a particular place or context.
-
C.
historicalOrigin
Indicates the relationship by which one entity serves as the source, origin, or starting point in history for another entity.
-
D.
popularEtymology
Indicates that an etymological explanation is based on common belief or folk interpretation rather than on historically or linguistically accurate origins.
-
E.
etymologyReason
Indicates the reason, source, or origin explaining how or why a term acquired its particular etymology.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8839cdf688190ae75c0e6fece8e33 |
completed | April 10, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69d80879fdb48190be6dacc8aa63c809 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d8279925e4819089210611c0d8e61a |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 8, 2026, 9:37 p.m.