Triple
T643494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tory |
E16790
|
entity |
| Predicate | positionOnMonarchy |
P16871
|
FINISHED |
| Object | pro-monarchy |
—
|
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: pro-monarchy | Statement: [Tory, positionOnMonarchy, pro-monarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnMonarchy Context triple: [Tory, positionOnMonarchy, pro-monarchy]
-
A.
monarchRole
Indicates that an entity holds or is assigned the role, office, or position of a monarch in relation to a state or domain.
-
B.
monarchyStatus
Indicates whether an entity is a monarchy and, if so, what specific monarchical status or type it holds.
-
C.
legalStatusOfMonarch
Indicates the legal status or standing that a monarch holds within a given legal or constitutional framework.
-
D.
monarch
Indicates that an entity serves as the sovereign ruler (such as a king, queen, or emperor) over a state or territory.
-
E.
representedMonarch
Indicates that one entity formally acted on behalf of, or served as the official representative of, a monarch in some capacity or context.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49f18216081908331aa12dac40214 |
completed | March 1, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69a49d0a0ab481909871461418a00be7 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49dc0e6a08190b81d82a6f2571c41 |
completed | March 1, 2026, 8:12 p.m. |
Created at: March 1, 2026, 7:36 p.m.