Triple
T3323504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maroons |
E69853
|
entity |
| Predicate | stateOfOriginTitles |
P47282
|
FINISHED |
| Object | over 20 series wins |
—
|
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: over 20 series wins | Statement: [Maroons, stateOfOriginTitles, over 20 series wins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateOfOriginTitles Context triple: [Maroons, stateOfOriginTitles, over 20 series wins]
-
A.
stateTitle
Indicates that an entity holds or is designated by a specific official title or position within a particular state or governmental jurisdiction.
-
B.
majorStatesInNigeria
Indicates that the subject is one of the principal or most significant states within the country of Nigeria.
-
C.
regionalTitles
Indicates that an entity holds or is associated with titles or designations that are specific to particular geographic regions.
-
D.
divisionTitles
Indicates that an entity holds or is associated with one or more titles or championships within a specific division or category.
-
E.
stateNickname
Indicates that one entity is the commonly used nickname or informal moniker for a given state.
- 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_69ad85a1829881908942c14075644d0d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb13e6c288190805f8abcd3acc906 |
completed | March 8, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69ada42a19348190a3862ce02451f4aa |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada52716ec81908e89688a81039394 |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:11 p.m.