Triple
T33663640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cogswell Tower |
E862421
|
entity |
| Predicate | localSymbolOf |
P30881
|
FINISHED |
| Object | Central Falls |
—
|
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: Central Falls | Statement: [Cogswell Tower, localSymbolOf, Central Falls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localSymbolOf Context triple: [Cogswell Tower, localSymbolOf, Central Falls]
-
A.
symbolForConstant
Indicates that one entity serves as the symbolic representation or notation used to denote a particular constant.
-
B.
hasSymbolFor
Indicates that one entity serves as the symbolic representation or sign for another entity.
-
C.
symbolRoot
Indicates a relationship where one symbol serves as the root or base form from which another symbol is derived or structured.
-
D.
hasSymbolLocation
chosen
Indicates that a symbol is associated with or positioned at a specific location.
-
E.
symbolForField
Indicates that one entity serves as the symbolic representation or notation used to denote a particular field in another entity.
- 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_69f34984c4008190bb82f33a7819da64 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
Created at: May 1, 2026, 1:42 a.m.