Triple
T4929025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collège de Clermont |
E110646
|
entity |
| Predicate | hasHeritageSuccessor |
P32013
|
FINISHED |
| Object | prestigious Parisian lycée |
—
|
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: prestigious Parisian lycée | Statement: [Collège de Clermont, hasHeritageSuccessor, prestigious Parisian lycée]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeritageSuccessor Context triple: [Collège de Clermont, hasHeritageSuccessor, prestigious Parisian lycée]
-
A.
hasSuccession
Indicates that one entity follows or replaces another in a sequence, order, or position, forming a succession relationship between them.
-
B.
hasModernSuccessor
chosen
Indicates that an entity is followed or replaced by another entity that serves as its modern equivalent or continuation.
-
C.
isSuccessorTo
Indicates that one entity directly follows another in an ordered sequence, coming immediately after it.
-
D.
successorDeterminedBy
Indicates that the identity of a successor is established or chosen according to a specified rule, process, or determining factor.
-
E.
successorInLineage
Indicates that one entity is the next direct descendant or inheritor in a genealogical or hierarchical lineage from another entity.
- 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7038c12c81908a793b4a8768c28a |
completed | March 20, 2026, 4:05 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3695c8819094e7ad2f6d4ba1ac |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:30 p.m.