Triple
T37496326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piazza delle Conserve |
E931835
|
entity |
| Predicate | typicalUseInPast |
P136896
|
FINISHED |
| Object | storage of fish |
—
|
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: storage of fish | Statement: [Piazza delle Conserve, typicalUseInPast, storage of fish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalUseInPast Context triple: [Piazza delle Conserve, typicalUseInPast, storage of fish]
-
A.
usedInPastFor
chosen
Indicates that one entity was previously utilized for another entity or purpose in the past.
-
B.
usedInPast
Indicates that an entity has been utilized or employed at some point in the past, prior to the current time or context.
-
C.
usedInPastBy
Indicates that an entity was previously utilized or employed by another entity at some time in the past.
-
D.
operatedInThePastTense
Indicates that the action of operating was performed by the subject in the past.
-
E.
spokenInPastTense
Indicates that an action or event is expressed using a past-tense verb form in speech or writing.
- 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_69f76ec457a4819094eeb3aed9baac11 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.