Triple
T16984915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Picardy Jules Verne |
E412038
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
UPJV
UPJV is the commonly used acronym for the University of Picardy Jules Verne, a French public university based in Amiens.
|
E1243985
|
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: UPJV | Statement: [University of Picardy Jules Verne, shortName, UPJV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UPJV Context triple: [University of Picardy Jules Verne, shortName, UPJV]
-
A.
TUPJ
TUPJ is the ICAO airport code for Terrance B. Lettsome International Airport, the main air gateway to the British Virgin Islands.
-
B.
UPV
UPV is the commonly used acronym for the Polytechnic University of Valencia, a major Spanish public technical university known for its engineering and technology programs.
-
C.
PUJ
PUJ is the IATA airport code for Punta Cana International Airport, a major tourist gateway in the Dominican Republic.
-
D.
IPU
IPU (Intelligence Processing Unit) is Graphcore's specialized processor architecture designed to accelerate machine learning and artificial intelligence workloads.
-
E.
IPU
IPU is the commonly used abbreviation for the Inter-Parliamentary Union, a global organization that fosters cooperation and dialogue among national parliaments.
- 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: UPJV Triple: [University of Picardy Jules Verne, shortName, UPJV]
Generated description
UPJV is the commonly used acronym for the University of Picardy Jules Verne, a French public university based in Amiens.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UPJV Target entity description: UPJV is the commonly used acronym for the University of Picardy Jules Verne, a French public university based in Amiens.
-
A.
TUPJ
TUPJ is the ICAO airport code for Terrance B. Lettsome International Airport, the main air gateway to the British Virgin Islands.
-
B.
UPV
UPV is the commonly used acronym for the Polytechnic University of Valencia, a major Spanish public technical university known for its engineering and technology programs.
-
C.
PUJ
PUJ is the IATA airport code for Punta Cana International Airport, a major tourist gateway in the Dominican Republic.
-
D.
IPU
IPU (Intelligence Processing Unit) is Graphcore's specialized processor architecture designed to accelerate machine learning and artificial intelligence workloads.
-
E.
IPU
IPU is the commonly used abbreviation for the Inter-Parliamentary Union, a global organization that fosters cooperation and dialogue among national parliaments.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d18af95c8190a25ef0614e1a17f3 |
completed | April 18, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc0f13c88190b55da5be40a0a476 |
completed | May 10, 2026, 7:27 p.m. |
| NEDg | Description generation | batch_6a00dc96a9588190b020fd7fd1deee2b |
completed | May 10, 2026, 7:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0114e04e00819093805024f8417fad |
completed | May 10, 2026, 11:29 p.m. |
Created at: April 10, 2026, 5:32 a.m.