Triple
T25008527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crown Lighter Lions |
E625918
|
entity |
| Predicate | teamNameIncludesSponsor |
P79531
|
FINISHED |
| Object |
Crown Lighter
Crown Lighter is a corporate sponsor whose name is incorporated into the title of the Crown Lighter Lions sports team.
|
E625918
|
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: Crown Lighter | Statement: [Crown Lighter Lions, teamNameIncludesSponsor, Crown Lighter]
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: Crown Lighter Triple: [Crown Lighter Lions, teamNameIncludesSponsor, Crown Lighter]
Generated description
Crown Lighter is a corporate sponsor whose name is incorporated into the title of the Crown Lighter Lions sports team.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamNameIncludesSponsor Context triple: [Crown Lighter Lions, teamNameIncludesSponsor, Crown Lighter]
-
A.
teamNameIncludes
chosen
Indicates that a team's name contains a specified substring or text fragment.
-
B.
teamNameRefersTo
Indicates that a given team name designates or refers to a specific team entity.
-
C.
teamNameType
Indicates the type or category associated with a team's name (e.g., formal name, short name, nickname).
-
D.
clubFullNameSupported
Indicates that the complete official name of a club is recognized and supported within the system.
-
E.
teamName
Indicates the relationship that assigns or associates a specific name with a particular team.
- 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_69e2ff27755881908490178e83701160 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f44b13897881909482f296204b8355 |
completed | May 1, 2026, 6:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1048ae0ae08190b088fe193cbf9788 |
completed | May 22, 2026, 12:14 p.m. |
| NEDg | Description generation | batch_6a104a450fe08190bb6f266341f1f595 |
completed | May 22, 2026, 12:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a104bbb9b6c81908fcc21c8c027b9de |
completed | May 22, 2026, 12:27 p.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 6:05 a.m.