Triple
T2923836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claude Bernard University Lyon 1 |
E78795
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
UCBL
UCBL is a major French public university in Lyon known for its strong programs and research in science, technology, health, and sports.
|
E309568
|
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: UCBL | Statement: [Claude Bernard University Lyon 1, hasAbbreviation, UCBL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UCBL Context triple: [Claude Bernard University Lyon 1, hasAbbreviation, UCBL]
-
A.
CLB
CLB is the abbreviated name for Japan’s Cabinet Legislation Bureau, the government body that reviews and drafts legislation and advises the Cabinet on legal matters.
-
B.
CLB
CLB is the abbreviated short name commonly used for the Major League Soccer club Columbus Crew.
-
C.
CUB
CUB is the three-letter ISO 3166-1 alpha-3 country code assigned to Cuba for international standardization and identification purposes.
-
D.
CUB
CUB is the stock ticker symbol for Cubic Corporation, a technology and services company known for its transportation and defense solutions.
-
E.
CUB
CUB is the ICAO airline designator assigned to Cubana de Aviación, the national flag carrier of Cuba.
- 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: UCBL Triple: [Claude Bernard University Lyon 1, hasAbbreviation, UCBL]
Generated description
UCBL is a major French public university in Lyon known for its strong programs and research in science, technology, health, and sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UCBL Target entity description: UCBL is a major French public university in Lyon known for its strong programs and research in science, technology, health, and sports.
-
A.
CLB
CLB is the abbreviated name for Japan’s Cabinet Legislation Bureau, the government body that reviews and drafts legislation and advises the Cabinet on legal matters.
-
B.
CLB
CLB is the abbreviated short name commonly used for the Major League Soccer club Columbus Crew.
-
C.
CUB
CUB is the three-letter ISO 3166-1 alpha-3 country code assigned to Cuba for international standardization and identification purposes.
-
D.
CUB
CUB is the ICAO airline designator assigned to Cubana de Aviación, the national flag carrier of Cuba.
-
E.
CUB
CUB is the stock ticker symbol for Cubic Corporation, a technology and services company known for its transportation and defense solutions.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97bf2df88190bd4f1e90d4656507 |
completed | March 8, 2026, 3:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b056375b5c819081c7d4fd506cbf25 |
completed | March 10, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69b05f640afc8190bf9b5b90ff7c9b0e |
completed | March 10, 2026, 6:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b06010c1948190a2e13084a79b106b |
completed | March 10, 2026, 6:16 p.m. |
Created at: March 8, 2026, 2:55 p.m.