Triple
T18733841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panthéon-Assas University |
E458108
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Paris 2 |
—
|
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: Paris 2 | Statement: [Panthéon-Assas University, shortName, Paris 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paris 2 Context triple: [Panthéon-Assas University, shortName, Paris 2]
-
A.
Paris 2
chosen
Paris 2 is the commonly used short name for Université Paris 2 Panthéon-Assas, a prestigious French university renowned for its programs in law and social sciences.
-
B.
Paris 3
Paris 3 is a French public university in Paris, known for its focus on humanities, languages, arts, and social sciences as part of the Sorbonne university group.
-
C.
Paris 1
Paris 1 is a leading French public research university in Paris, renowned for its programs in law, economics, humanities, and social sciences.
-
D.
Paris (intermittently)
Paris (intermittently) refers to the French capital during periods when it temporarily served as a political and military stronghold for the Armagnac faction in the late medieval civil conflicts of France.
-
E.
Paris Qualles
Paris Qualles is an American television and film screenwriter and producer known for his work on socially conscious dramas and biographical projects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d7a06788190a8e09c657aaeb8e5 |
completed | April 20, 2026, 12:04 a.m. |
Created at: April 10, 2026, 11:51 a.m.