Triple
T8945935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aldershot Town F.C. |
E213220
|
entity |
| Predicate | reasonForPhoenixSymbol |
P7885
|
FINISHED |
| Object | reformed after Aldershot F.C. liquidation |
—
|
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: reformed after Aldershot F.C. liquidation | Statement: [Aldershot Town F.C., reasonForPhoenixSymbol, reformed after Aldershot F.C. liquidation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForPhoenixSymbol Context triple: [Aldershot Town F.C., reasonForPhoenixSymbol, reformed after Aldershot F.C. liquidation]
-
A.
emblemSymbolism
Indicates that one entity serves as an emblem whose design or features symbolically represent or convey meanings about another entity.
-
B.
shapeSymbolism
Indicates how a particular shape is associated with or conveys symbolic meaning within a given context.
-
C.
fireSymbolizes
Indicates that the concept or element of fire is used to represent, signify, or stand for another idea, quality, or meaning in a symbolic way.
-
D.
symbolOnInsignia
Indicates that a particular symbol appears on or is featured as part of an insignia.
-
E.
reasonForName
chosen
Indicates the explanation or cause behind why an entity has a particular name.
- 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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66dd00c481908ff20fd66c1954cc |
completed | April 1, 2026, 12:29 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed5267c8190a43feb2a2f3df1ec |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 6:59 p.m.