Triple
T26634609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaucouleurs |
E668600
|
entity |
| Predicate | JoanOfArcDepartedFromHereFor |
P161075
|
FINISHED |
| Object | Chinon |
—
|
NE NERFINISHED |
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: Chinon | Statement: [Vaucouleurs, JoanOfArcDepartedFromHereFor, Chinon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JoanOfArcDepartedFromHereFor Context triple: [Vaucouleurs, JoanOfArcDepartedFromHereFor, Chinon]
-
A.
yearOfCrusadeDeparture
Indicates the specific year in which a crusade or crusading expedition set out or began its journey.
-
B.
frenchTroopsEvacuated
Indicates that French military forces withdrew or were removed from a particular location or situation.
-
C.
liberationPlace
Indicates the place or location where an entity was liberated or set free.
-
D.
wasFirstMajorTownLiberatedIn
Indicates that one entity was the first major town to be liberated in the context of a specified event or conflict.
-
E.
placeOfPassing
Indicates the location where an entity (typically a person) died or passed away.
- 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_69ee9d0024b8819090a7c8cf669a3b6c |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f616289e5881908ade8c7b5ff7a45a |
completed | May 2, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60f24ed608190bffe6c6084fc2f7a |
completed | May 2, 2026, 2:50 p.m. |
Created at: April 27, 2026, 2:26 a.m.