Triple
T35062569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henri, Count of Chambord |
E1011632
|
entity |
| Predicate | opposedFlag |
P193563
|
FINISHED |
| Object | French tricolour flag |
—
|
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: French tricolour flag | Statement: [Henri, Count of Chambord, opposedFlag, French tricolour flag]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opposedFlag Context triple: [Henri, Count of Chambord, opposedFlag, French tricolour flag]
-
A.
opposedBy
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
-
B.
opposedBecause
Indicates that one entity is opposed to another specifically due to a particular reason, cause, or justification.
-
C.
opposedDuring
Indicates that one entity actively resisted or was in conflict with another entity during a specified time period or event.
-
D.
oppositionFlagDescription
Indicates that there is a textual explanation or note describing why something has been marked as being in opposition or flagged as opposed.
-
E.
opposesLabel
Indicates that one entity expresses disagreement with, resistance to, or active opposition against another entity or its position.
- 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_69f76dd09c308190a523454853ce842b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69fd49f612a4819096fe7d5a3bb439ba |
completed | May 8, 2026, 2:27 a.m. |
Created at: May 3, 2026, 4:01 p.m.