Triple
T31308826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bryant's Grocery and Meat Market |
E798406
|
entity |
| Predicate | eventMonth |
P117938
|
FINISHED |
| Object | August 1955 |
—
|
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: August 1955 | Statement: [Bryant's Grocery and Meat Market, eventMonth, August 1955]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eventMonth Context triple: [Bryant's Grocery and Meat Market, eventMonth, August 1955]
-
A.
monthlyEventDay
Indicates the specific day within each month on which a recurring event takes place.
-
B.
typicalEventMonth
Indicates the month in which an event or type of event typically occurs.
-
C.
monthObserved
Indicates the month during which an event, observation, or measurement took place.
-
D.
organisedInMonth
chosen
Indicates that an event or activity was arranged or took place during a specific calendar month.
-
E.
eventDateContext
Indicates the contextual role or significance that a specific date has within an event (e.g., whether it is the start, end, deadline, or another relevant temporal marker).
- 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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 29, 2026, 9:14 p.m.