Triple
T1278750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3 Maccabees |
E27274
|
entity |
| Predicate | titleRelation |
P28331
|
FINISHED |
| Object | not directly about the Maccabean revolt |
—
|
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: not directly about the Maccabean revolt | Statement: [3 Maccabees, titleRelation, not directly about the Maccabean revolt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleRelation Context triple: [3 Maccabees, titleRelation, not directly about the Maccabean revolt]
-
A.
semanticRelation
Indicates a general meaning-based connection between two entities, such as similarity, implication, or conceptual association.
-
B.
relationshipType
Indicates the specific kind of relationship that exists between two or more entities.
-
C.
datumRelation
Indicates a relationship where one piece of data is connected to, derived from, or otherwise associated with another piece of data.
-
D.
titlePositionRelation
Indicates a relationship specifying how a title is positioned or ordered relative to other titles or elements.
-
E.
relatedTitleHolder
Indicates that one entity holds a title or position that is related or connected to the title or position held by another entity.
- F. None of above. chosen
Provenance (4 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c31602b8819087a57e8d390cae7a |
completed | March 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69a4bee0be808190a8ccac6a41851fdd |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c31400c08190a07ccb736df3bf54 |
completed | March 1, 2026, 10:52 p.m. |
Created at: March 1, 2026, 7:50 p.m.