Triple
T1884142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John of Patmos |
E39921
|
entity |
| Predicate | associatedWithNumber |
P5467
|
FINISHED |
| Object | seven |
—
|
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: seven | Statement: [John of Patmos, associatedWithNumber, seven]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithNumber Context triple: [John of Patmos, associatedWithNumber, seven]
-
A.
associatedNumber
chosen
Indicates a relationship where a specific number is linked or assigned to an entity as its associated value.
-
B.
originallyAssociatedWith
Indicates that an entity was first linked, connected, or affiliated with another entity before any later changes in association.
-
C.
associatedName
Indicates that one entity has an alternative or related name that is linked or connected to another entity.
-
D.
associatedWithText
Indicates that an entity has a contextual or semantic connection to a specific piece of text.
-
E.
associatedWithFlag
Indicates a relationship where an entity is linked or connected to a particular flag, such as a national, organizational, or symbolic banner.
- 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb4f53f408190ae30e1a12721e7d7 |
completed | March 7, 2026, 5:17 a.m. |
| PD | Predicate disambiguation | batch_69abafe497a88190a1da6af2888b71b4 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.