Triple
T32585098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabeline (Cristino) faction |
E832898
|
entity |
| Predicate | supportsRegent |
P59601
|
FINISHED |
| Object | Maria Christina of the Two Sicilies |
E78068
|
NE 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: Maria Christina of the Two Sicilies | Statement: [Isabeline (Cristino) faction, supportsRegent, Maria Christina of the Two Sicilies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsRegent Context triple: [Isabeline (Cristino) faction, supportsRegent, Maria Christina of the Two Sicilies]
-
A.
supportsRegulationBy
Indicates that one entity provides assistance, resources, or mechanisms that enable or enhance the regulatory control exerted by another entity.
-
B.
supportedCouncil
Indicates that an entity provided backing, endorsement, or assistance to a council.
-
C.
supportsRatificationOf
Indicates that one entity endorses or advocates for the formal approval or ratification of another entity (such as a treaty, agreement, or decision).
-
D.
supportsRegulation
Indicates that one entity endorses, backs, or advocates for the implementation or continuation of a specific regulation.
-
E.
supportsOfficeHolder
chosen
Indicates that one entity backs, endorses, or provides assistance to a person currently holding a particular office or position.
- F. None of above.
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_69f349289adc81909f4374a58ec35a39 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34eff5be608190b78506f9b92f5e80 |
completed | June 19, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:04 a.m.