Triple
T6517403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cow |
E148299
|
entity |
| Predicate | containsLastTwoVersesOfProtection |
P28118
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Cow, containsLastTwoVersesOfProtection, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsLastTwoVersesOfProtection Context triple: [The Cow, containsLastTwoVersesOfProtection, true]
-
A.
containsLastTwoVersesOfSurah
chosen
Indicates that one entity includes or encompasses the final two verses of a specified Surah.
-
B.
lastTwoStanzasKnownAs
Indicates that the final two stanzas of a work are collectively referred to by a specific name or designation.
-
C.
closingVerse
Indicates that one entity serves as the final or concluding verse of another entity, such as a song, poem, or hymn.
-
D.
containsVerse
Indicates that one entity (typically a text or collection) includes a specific verse as part of its content.
-
E.
hasMultipleVerses
Indicates that something, typically a song, poem, or text, consists of more than one verse.
- 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ac0ece2081909c14accef90efd7c |
completed | March 27, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69c68ab98c78819081743e614df04e1d |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:44 p.m.