Triple
T5423485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesus piece pendants |
E121306
|
entity |
| Predicate | oftenSetWith |
P3100
|
FINISHED |
| Object | diamonds |
—
|
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: diamonds | Statement: [Jesus piece pendants, oftenSetWith, diamonds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenSetWith Context triple: [Jesus piece pendants, oftenSetWith, diamonds]
-
A.
oftenConfiguredAs
Indicates that one entity is frequently set up, arranged, or used in the form or role of another entity.
-
B.
oftenAccompaniedBy
chosen
Indicates that one entity is frequently found together with, occurs alongside, or is commonly associated in presence or use with another entity.
-
C.
oftenPrecededBy
Indicates that one event, state, or item commonly occurs or appears before another in time or sequence.
-
D.
oftenHeldToBe
Indicates that something is frequently regarded, considered, or believed to be a certain way by many people or in many contexts.
-
E.
setsIn
Indicates that one entity places or positions another entity into or within a specified container, location, 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8812f84c819094d8516f69fff83d |
completed | March 20, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69bd8469f5e48190bbe5c8bdfe8925ea |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:06 p.m.