Triple
T32195166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiffauges |
E822383
|
entity |
| Predicate | castleAssociatedWith |
P173307
|
FINISHED |
| Object | Gilles de Rais |
—
|
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: Gilles de Rais | Statement: [Tiffauges, castleAssociatedWith, Gilles de Rais]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: castleAssociatedWith Context triple: [Tiffauges, castleAssociatedWith, Gilles de Rais]
-
A.
castleRepresents
Indicates that a castle stands as a symbol or representation of another entity, concept, or value.
-
B.
castleLocatedIn
Indicates that a castle is situated within or belongs to a specific geographic or administrative location.
-
C.
castleLaterOwnedBy
Indicates that ownership of a castle passed to a specified entity at a later time than the initial or previously recorded owner.
-
D.
castleName
Indicates that an entity has the specified name of a castle.
-
E.
castleBuilt
Indicates that a castle has been constructed or established, typically by a specific agent or during a particular time period.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bb35e9a08190bb96bb25c32e0812 |
completed | May 3, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69f6b3aa892481908d29283a074e6722 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b42902a081909126c7322858a2b3 |
completed | May 3, 2026, 2:34 a.m. |
Created at: May 1, 2026, 12:35 a.m.