Triple
T24813172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Street Market |
E620843
|
entity |
| Predicate | operatedOnDay |
P162064
|
FINISHED |
| Object | Sunday |
—
|
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: Sunday | Statement: [East Street Market, operatedOnDay, Sunday]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedOnDay Context triple: [East Street Market, operatedOnDay, Sunday]
-
A.
operatedOn
Indicates that one entity has performed a surgical or procedural operation on another entity.
-
B.
operatedDuring
Indicates that an action, process, or system was functioning or in operation throughout a specified time period or event.
-
C.
operatedAt
Indicates that an operation, procedure, or activity was performed at a specific location or facility.
-
D.
operatedFor
Indicates that one entity performed operations or provided services on behalf of, or in support of, another entity for a certain period or purpose.
-
E.
operatedAfter
Indicates that one operation or action occurred later in time than another specified operation or action.
- 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_69e2fabfd4648190bd0e5c7f4dbb6cab |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f622abdfac8190988421c946411d7e |
completed | May 2, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f621fbfc2c8190bfa802d7dc0f6aa4 |
completed | May 2, 2026, 4:10 p.m. |
Created at: April 18, 2026, 4:55 a.m.