Triple
T6517419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cow |
E148299
|
entity |
| Predicate | containsVerseOfDebt |
P28117
|
FINISHED |
| Object | verse 282 |
—
|
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: verse 282 | Statement: [The Cow, containsVerseOfDebt, verse 282]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsVerseOfDebt Context triple: [The Cow, containsVerseOfDebt, verse 282]
-
A.
debt
Indicates that one entity owes money or an obligation to another entity, typically to be repaid under agreed conditions.
-
B.
owedLifeDebtTo
Indicates that one entity is bound by a significant obligation or duty to another entity, typically as repayment for having their life saved or preserved.
-
C.
containsVerse
chosen
Indicates that one entity (typically a text or collection) includes a specific verse as part of its content.
-
D.
verses
Indicates a relationship where one entity competes or is pitted against another, as in an opposition, matchup, or comparison.
-
E.
keyVerse
Indicates that one verse is designated as the central or most thematically important verse in relation to a text, passage, or concept.
- 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.