Triple
T11161695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Université Paris 2 Panthéon-Assas |
E264051
|
entity |
| Predicate | campus |
P269
|
FINISHED |
| Object |
Assas center
Assas center is the historic main campus of Université Paris 2 Panthéon-Assas in central Paris, known especially for its focus on law and social sciences.
|
E909238
|
NE FINISHED |
How this triple was built (4 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: Assas center | Statement: [Université Paris 2 Panthéon-Assas, campus, Assas center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Assas center Context triple: [Université Paris 2 Panthéon-Assas, campus, Assas center]
-
A.
Asse
Asse is a municipality in the Belgian province of Flemish Brabant, located just northwest of Brussels.
-
B.
Asserbos
Asserbos is a historic urban forest and public park located in the city of Assen in the Netherlands.
-
C.
Aspredo
Aspredo is a genus of banjo catfishes native to freshwater and brackish habitats in South America, known for their flattened bodies and unusual reproductive behavior.
-
D.
Ascrans
The Ascrans were an ancient Greek people associated with the town of Ascra in Boeotia, known from classical literary and historical references.
-
E.
Ashkun
Ashkun is a Nuristani language spoken by the Ashkun people in parts of eastern Afghanistan.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Assas center Triple: [Université Paris 2 Panthéon-Assas, campus, Assas center]
Generated description
Assas center is the historic main campus of Université Paris 2 Panthéon-Assas in central Paris, known especially for its focus on law and social sciences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Assas center Target entity description: Assas center is the historic main campus of Université Paris 2 Panthéon-Assas in central Paris, known especially for its focus on law and social sciences.
-
A.
Asse
Asse is a municipality in the Belgian province of Flemish Brabant, located just northwest of Brussels.
-
B.
Asserbos
Asserbos is a historic urban forest and public park located in the city of Assen in the Netherlands.
-
C.
Aspredo
Aspredo is a genus of banjo catfishes native to freshwater and brackish habitats in South America, known for their flattened bodies and unusual reproductive behavior.
-
D.
Ascrans
The Ascrans were an ancient Greek people associated with the town of Ascra in Boeotia, known from classical literary and historical references.
-
E.
Ashkun
Ashkun is a Nuristani language spoken by the Ashkun people in parts of eastern Afghanistan.
- F. None of above. chosen
Provenance (5 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8832fe88190a74d81f9ed547baa |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e46375c61c8190939401f790cf1593 |
completed | April 19, 2026, 5:09 a.m. |
| NEDg | Description generation | batch_69e46c374ca08190a876ee68dea9b821 |
completed | April 19, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4747bc02c81908f0782cf85667f3f |
completed | April 19, 2026, 6:21 a.m. |
Created at: April 8, 2026, 9:29 p.m.