Triple
T37001446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Ten Conference football championship trophy |
E915360
|
entity |
| Predicate | formerNameWithdrawn |
P65
|
FINISHED |
| Object | 2011 |
—
|
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: 2011 | Statement: [Big Ten Conference football championship trophy, formerNameWithdrawn, 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerNameWithdrawn Context triple: [Big Ten Conference football championship trophy, formerNameWithdrawn, 2011]
-
A.
formerName
chosen
Indicates that an entity was previously known by a different name in the past.
-
B.
heldAtFormerName
Indicates that an event or activity took place at a location when it was known by a previous or former name.
-
C.
retiredNameReplaced
Indicates that an entity’s retired name has been superseded and replaced by a new official name.
-
D.
nameRetiredFrom
Indicates that an entity has ceased holding or performing a particular named role, position, or activity.
-
E.
formerMemberName
Indicates that the referenced name belongs to an entity that was previously a member of a particular group, organization, or body but is no longer one.
- F. None of above.
Provenance (3 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_69f76e8f1a8c81909db172ed31304971 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a00bb3a6f888190b3ecd0fbc9af9b4a |
completed | May 10, 2026, 5:07 p.m. |
| PD | Predicate disambiguation | batch_6a00b902dbf881909e098ff102b7ea7e |
completed | May 10, 2026, 4:57 p.m. |
Created at: May 3, 2026, 4:14 p.m.