Triple
T21917943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | cult of Magna Mater |
E541228
|
entity |
| Predicate | stateCultFrom |
P145627
|
FINISHED |
| Object | 204 BC |
—
|
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: 204 BC | Statement: [cult of Magna Mater, stateCultFrom, 204 BC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateCultFrom Context triple: [cult of Magna Mater, stateCultFrom, 204 BC]
-
A.
stateCult
Indicates a relationship where a government or state apparatus actively promotes, controls, or embodies a cult-like ideology, leadership worship, or quasi-religious doctrine as part of its political or social order.
-
B.
stateOrRegion
Indicates that one entity is a state or region in which the other entity is located or with which it is associated.
-
C.
stateName
Indicates that an entity is identified by or associated with a particular state’s name.
-
D.
stateOrTerritory
Indicates that one entity is a state or territory that is politically or administratively associated with another entity.
-
E.
provinceName
Indicates that a province entity is associated with its specific name as a textual label.
- 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1233924008190923724d0c0f2d435 |
completed | April 28, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69e6be9ebf4c8190892df1a8e1313f88 |
completed | April 21, 2026, 12:02 a.m. |
| PDg | Predicate description generation | batch_69e6c187bc548190b4ca13150f6bae38 |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 7:43 p.m.