Triple
T6002066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cobi |
E133619
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
COOB
COOB is the namesake associated with Cobi, the official mascot of the 1992 Barcelona Olympic Games.
|
E562478
|
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: COOB | Statement: [Cobi, namedAfter, COOB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: COOB Context triple: [Cobi, namedAfter, COOB]
-
A.
Coe
Coe is a surname most prominently associated with Sebastian Coe, the British middle-distance running champion and influential sports administrator.
-
B.
COO
COO is the executive role responsible for overseeing a company's day-to-day operations and implementing its business strategies.
-
C.
COIB
COIB is the French acronym for Belgium’s National Olympic Committee, the body responsible for organizing and overseeing the country’s participation in the Olympic Games.
-
D.
COBR
COBR is the commonly used acronym for the United Kingdom government’s emergency response committee that convenes in the Cabinet Office Briefing Rooms to coordinate crisis management.
-
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: COOB Triple: [Cobi, namedAfter, COOB]
Generated description
COOB is the namesake associated with Cobi, the official mascot of the 1992 Barcelona Olympic Games.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: COOB Target entity description: COOB is the namesake associated with Cobi, the official mascot of the 1992 Barcelona Olympic Games.
-
A.
Coe
Coe is a surname most prominently associated with Sebastian Coe, the British middle-distance running champion and influential sports administrator.
-
B.
COO
COO is the executive role responsible for overseeing a company's day-to-day operations and implementing its business strategies.
-
C.
COIB
COIB is the French acronym for Belgium’s National Olympic Committee, the body responsible for organizing and overseeing the country’s participation in the Olympic Games.
-
D.
COBR
COBR is the commonly used acronym for the United Kingdom government’s emergency response committee that convenes in the Cabinet Office Briefing Rooms to coordinate crisis management.
-
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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04ee9cb0c8190a3361c36ac3944af |
completed | March 22, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c10888e58c8190a9454de046b27faf |
completed | March 23, 2026, 9:31 a.m. |
| NEDg | Description generation | batch_69c10b5816548190b73f19e12cdf8e03 |
completed | March 23, 2026, 9:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c10c39fb848190a557278d3cd23560 |
completed | March 23, 2026, 9:47 a.m. |
Created at: March 22, 2026, 4:05 p.m.