Triple
T19078562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matriarchs of Israel |
E466963
|
entity |
| Predicate | hasCanonicalCount |
P86003
|
FINISHED |
| Object | four matriarchs |
—
|
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: four matriarchs | Statement: [Matriarchs of Israel, hasCanonicalCount, four matriarchs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanonicalCount Context triple: [Matriarchs of Israel, hasCanonicalCount, four matriarchs]
-
A.
hasCanonicalHolderCount
chosen
Indicates the number of official or standard holders associated with a given entity.
-
B.
hasCanonicalNumber
Indicates that an entity is associated with its officially recognized or standard reference number.
-
C.
hasCanonicalLength
Indicates that something possesses a standard or officially defined length used as a reference or norm.
-
D.
hasCanonicalRepresentation
Indicates that one entity is the standard or authoritative form in which another entity is represented.
-
E.
hasCanonicalPosition
Indicates that an entity occupies a standard, officially recognized, or authoritative position or location within a defined structure or system.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e61b60819092d42614f04a087c |
completed | April 20, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e4b9a604308190a3235184f9f2c056 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:04 p.m.