Triple
T34452973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan of Arc in Rouen |
E884423
|
entity |
| Predicate | notableWitnesses |
P9232
|
FINISHED |
| Object | clerics of the University of Paris |
—
|
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: clerics of the University of Paris | Statement: [Joan of Arc in Rouen, notableWitnesses, clerics of the University of Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableWitnesses Context triple: [Joan of Arc in Rouen, notableWitnesses, clerics of the University of Paris]
-
A.
notableWitness
chosen
Indicates that one entity is a significant or prominent witness to an event, action, or situation involving another entity.
-
B.
witnesses
Indicates that one entity observes an event, action, or situation involving another entity, typically as a bystander or observer.
-
C.
notablePolis
Indicates that one entity is a city-state (polis) that holds particular historical, cultural, or political significance in relation to another entity.
-
D.
notableFor
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
-
E.
onlyWitnessOf
Indicates that one entity is the sole witness to an event, action, or situation involving another entity, with no other witnesses present.
- F. None of above.
Provenance (3 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_69f349c607688190b553539d14901a35 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 2 a.m.