Triple
T37080257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Zimbabwe |
E918122
|
entity |
| Predicate | hasFanNicknameForFixture |
P74538
|
FINISHED |
| Object |
Battle of Zim
The Battle of Zim is a fan-coined nickname for the fiercely contested cricket encounters involving Zimbabwe’s national team.
|
E2212553
|
NE FINISHED |
How this triple was built (3 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: Battle of Zim | Statement: [Battle of Zimbabwe, hasFanNicknameForFixture, Battle of Zim]
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: Battle of Zim Triple: [Battle of Zimbabwe, hasFanNicknameForFixture, Battle of Zim]
Generated description
The Battle of Zim is a fan-coined nickname for the fiercely contested cricket encounters involving Zimbabwe’s national team.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFanNicknameForFixture Context triple: [Battle of Zimbabwe, hasFanNicknameForFixture, Battle of Zim]
-
A.
hasNicknameForFixture
Indicates that one entity serves as a nickname or informal alternative name specifically for a given fixture.
-
B.
fanNicknameForFixture
chosen
Indicates that a particular nickname is used by fans to refer to a specific fixture or matchup.
-
C.
hasFanAbbreviation
Indicates that an entity is associated with an abbreviation or short form commonly used by fans to refer to it.
-
D.
hasHomeFansNickname
Indicates that an entity is known by a particular nickname specifically used by its home fans.
-
E.
fandomNickname
Indicates that one entity is the nickname used by fans to refer to another entity (such as a person, group, or work).
- F. None of above.
Provenance (6 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_69f76e9952b88190a6fe01ba01476520 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe87b609888190913b0c3f787ecdba |
completed | May 9, 2026, 1:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3efdc4ce288190b209871c0add5b94 |
completed | June 26, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_6a3eff8683d48190aa2b61398282c803 |
completed | June 26, 2026, 10:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3f1cca97e08190990d9e736777d8db |
completed | June 27, 2026, 12:43 a.m. |
| PD | Predicate disambiguation | batch_69fe8731af48819092084f6f74bf052d |
completed | May 9, 2026, 1 a.m. |
Created at: May 3, 2026, 4:14 p.m.