Triple
T24882282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zimri |
E622744
|
entity |
| Predicate | alsoSignificantIn |
P41499
|
FINISHED |
| Object | Christian tradition |
—
|
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: Christian tradition | Statement: [Zimri, alsoSignificantIn, Christian tradition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoSignificantIn Context triple: [Zimri, alsoSignificantIn, Christian tradition]
-
A.
hasParticularSignificanceFor
chosen
Indicates that something holds a special, notable, or contextually important relevance or impact for a particular entity or situation.
-
B.
significantPort
Indicates that a port holds major importance in terms of trade, transportation, or strategic relevance within a given context.
-
C.
hasSignificant
Indicates that one entity possesses or exhibits a level of importance, impact, or relevance that is notably large or meaningful in relation to another entity or context.
-
D.
significance
Indicates that one entity holds particular importance, influence, or meaningful impact in relation to another entity or context.
-
E.
significantAfter
Indicates that one event or state occurs after another in a way that is temporally meaningful or non-trivially later, not just immediately or insignificantly afterward.
- 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_69e2fac4aa848190b3446a3922cec150 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:24 a.m.