Triple
T267089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manchester Arena |
E5754
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
MEN Arena
MEN Arena was the former name of Manchester Arena, a major indoor entertainment and sports venue in Manchester, England.
|
E34419
|
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: MEN Arena | Statement: [Manchester Arena, formerName, MEN Arena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MEN Arena Context triple: [Manchester Arena, formerName, MEN Arena]
-
A.
The Palestra
The Palestra is a historic college basketball arena on the University of Pennsylvania campus in Philadelphia, renowned as one of the most storied and frequently used venues in the sport.
-
B.
Mjölnir MMA
Mjölnir MMA is an Icelandic mixed martial arts gym and training team known for producing high-level fighters such as UFC welterweight Gunnar Nelson.
-
C.
MGA
MGA is the commonly used abbreviation for the Maryland General Assembly, the state’s bicameral legislative body.
-
D.
Horseshoe
Horseshoe is a well-known casino and racetrack brand in the United States, recognized for its gambling, entertainment, and hospitality offerings.
-
E.
MAN
MAN is the three-letter IATA airport code for Manchester Airport, a major international airport serving the Greater Manchester area in England.
- 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: MEN Arena Triple: [Manchester Arena, formerName, MEN Arena]
Generated description
MEN Arena was the former name of Manchester Arena, a major indoor entertainment and sports venue in Manchester, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MEN Arena Target entity description: MEN Arena was the former name of Manchester Arena, a major indoor entertainment and sports venue in Manchester, England.
-
A.
The Palestra
The Palestra is a historic college basketball arena on the University of Pennsylvania campus in Philadelphia, renowned as one of the most storied and frequently used venues in the sport.
-
B.
Mjölnir MMA
Mjölnir MMA is an Icelandic mixed martial arts gym and training team known for producing high-level fighters such as UFC welterweight Gunnar Nelson.
-
C.
MGA
MGA is the commonly used abbreviation for the Maryland General Assembly, the state’s bicameral legislative body.
-
D.
Horseshoe
Horseshoe is a well-known casino and racetrack brand in the United States, recognized for its gambling, entertainment, and hospitality offerings.
-
E.
MAN
MAN is the three-letter IATA airport code for Manchester Airport, a major international airport serving the Greater Manchester area in England.
- 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_69a2587daeb081909591b9d30f80a271 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dacf60c8190a5c3ef455b9a8b20 |
completed | Feb. 28, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a389af49f08190991cc16264a2c2c4 |
completed | March 1, 2026, 12:34 a.m. |
| NEDg | Description generation | batch_69a38a0114b481908c9363e926b4b3ae |
completed | March 1, 2026, 12:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a38a699a6081908c167ce9ad55a660 |
completed | March 1, 2026, 12:38 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.