Triple
T26250831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billericay Town F.C. |
E656580
|
entity |
| Predicate | FA VaseTitles |
P160409
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Billericay Town F.C., FA VaseTitles, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FA VaseTitles Context triple: [Billericay Town F.C., FA VaseTitles, 3]
-
A.
USTitles
Indicates that the entity holds or is associated with official titles or designations specific to the United States.
-
B.
cultTitleOf
Indicates that the subject holds a religious or cultic title or honorific associated with the object.
-
C.
titleHeldIn
Indicates that a particular title or position is held within a specified organization, jurisdiction, or contextual domain.
-
D.
mastersTitles
Indicates that one entity holds one or more master's degree titles associated with another entity (such as an institution, field, or program).
-
E.
ACCtitles
Indicates that one entity holds or is associated with academic or professional titles conferred by another entity.
- 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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f60dca3cb881908b89f0ace35212fe |
completed | May 2, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fd90fc81909055b211368f9139 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 26, 2026, 9:07 p.m.