Triple
T3151672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah Al-Balad |
E65889
|
entity |
| Predicate | verseCountType |
P46408
|
FINISHED |
| Object | short verses |
—
|
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: short verses | Statement: [Surah Al-Balad, verseCountType, short verses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: verseCountType Context triple: [Surah Al-Balad, verseCountType, short verses]
-
A.
hasVerseCount
Indicates that an entity (such as a text or section) is associated with a specific number of verses it contains.
-
B.
verseNumber
Indicates the specific numbered position of a verse within an ordered sequence, such as in a chapter, song, or poem.
-
C.
numberingType
Indicates the scheme or style used to assign sequential numbers or labels within an ordered set.
-
D.
verseForm
Indicates the specific structural or metrical pattern in which a verse or poem is composed.
-
E.
numberOfOfficialStanzas
Indicates the total count of officially recognized stanzas associated with an entity, such as a song, poem, or anthem.
- 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5c145248190843ff3b1701074a1 |
completed | March 8, 2026, 4:37 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfa3d9081908425aa636bb9b897 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada148e9108190b363dd0f1a94ac8e |
completed | March 8, 2026, 4:18 p.m. |
Created at: March 8, 2026, 3:05 p.m.