Triple
T36109316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islanders |
E1044446
|
entity |
| Predicate | hasFanBaseCity |
P54054
|
FINISHED |
| Object | Charlottetown |
—
|
NE NERFINISHED |
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: Charlottetown | Statement: [Islanders, hasFanBaseCity, Charlottetown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFanBaseCity Context triple: [Islanders, hasFanBaseCity, Charlottetown]
-
A.
hasFanBasePrimarilyIn
chosen
Indicates that an entity’s main or largest group of supporters, followers, or fans is located in a specified place or region.
-
B.
hasFanBaseFor
Indicates that an entity has a group of supporters or admirers specifically dedicated to another entity (such as a work, person, or brand).
-
C.
hasFanBaseFrom
Indicates that an entity has a significant group of supporters or followers originating from a specified place, group, or source.
-
D.
hasFanBaseDepictedAs
Indicates that an entity has a fan base that is visually or narratively represented in some form (e.g., in media, artwork, or documentation).
-
E.
hasStrongRegionalFanBase
Indicates that an entity enjoys particularly high popularity or support within a specific geographic region compared to other areas.
- 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_69f76e344a4c8190af3858c6d78ba88f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe610e1f6881908f10070ba64643cf |
completed | May 8, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69fe604c6c008190ad659e9b9fa82f7b |
completed | May 8, 2026, 10:14 p.m. |
Created at: May 3, 2026, 4:08 p.m.