Triple
T12555789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Boys in Gold |
E295210
|
entity |
| Predicate | teamKnownFor |
P105872
|
FINISHED |
| Object | defensive solidity |
—
|
LITERAL FINISHED |
How this triple was built (2 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: defensive solidity | Statement: [The Boys in Gold, teamKnownFor, defensive solidity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamKnownFor Context triple: [The Boys in Gold, teamKnownFor, defensive solidity]
-
A.
teamMostAssociatedWith
Indicates the team with which an entity is most strongly or primarily associated, relative to other possible team affiliations.
-
B.
team1LaterKnownAs
Indicates that the first team was later renamed to or became known by the identity of the second team.
-
C.
formerSportsTeam
Indicates that an entity was once a member of or played for a particular sports team in the past but no longer does so.
-
D.
associatedTeamName
Indicates the name of the team that is linked or connected to a given entity.
-
E.
sportOfReferencedTeam
Indicates that the subject is the sport played by, or associated with, the referenced team.
- F. None of above. chosen
Provenance (4 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d95410d0b0819097646edd1b837104 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d95f5148948190946a575d812b329d |
completed | April 10, 2026, 8:36 p.m. |
Created at: April 8, 2026, 11:46 p.m.