Triple
T25699865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nine Stripes |
E644428
|
entity |
| Predicate | hasNumberReference |
P112288
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [The Nine Stripes, hasNumberReference, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberReference Context triple: [The Nine Stripes, hasNumberReference, 9]
-
A.
hasNumberInSomeSources
Indicates that certain sources report or associate a particular number with the given entity or relation.
-
B.
hasNumberInStructure
chosen
Indicates that an entity’s structure includes or contains a specific numerical value or component.
-
C.
hasReferenceID
Indicates that an entity is associated with a specific reference identifier used to uniquely track or distinguish it.
-
D.
hasReferences
Indicates that one entity cites, points to, or relies on another entity as a reference or source.
-
E.
hasCanonicalNumber
Indicates that an entity is associated with its officially recognized or standard reference number.
- 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_69e77e82c9bc8190893090b2f6c64f1d |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 21, 2026, 8:43 p.m.