Triple
T33607671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 11,000 Virgins |
E860903
|
entity |
| Predicate | numberInterpretation |
P67724
|
FINISHED |
| Object | likely based on misreading of inscription |
—
|
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: likely based on misreading of inscription | Statement: [11,000 Virgins, numberInterpretation, likely based on misreading of inscription]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberInterpretation Context triple: [11,000 Virgins, numberInterpretation, likely based on misreading of inscription]
-
A.
digitMeaning
Indicates that a particular digit symbol is associated with a specific numerical value or conceptual meaning.
-
B.
intendedInterpretation
chosen
Indicates that one entity is meant to be understood or interpreted in a particular way, sense, or meaning relative to another.
-
C.
numberDescribedAs
Indicates that a number is characterized, labeled, or referred to using a particular description or phrase.
-
D.
definitionInWords
Indicates that one entity provides a verbal or textual explanation or meaning for another entity.
-
E.
number
Indicates that one entity is associated with a specific numerical value or count in relation to another entity or context.
- 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_69f3498037c88190a4500f002b5540e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a0337c7389c8190b71d27b8eb8daf9a |
completed | May 12, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_6a0335b7b1588190b02a0ce6a08704aa |
completed | May 12, 2026, 2:14 p.m. |
Created at: May 1, 2026, 1:41 a.m.