Triple
T7968846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main Street, U.S.A. |
E185273
|
entity |
| Predicate | firstOpened |
P22100
|
FINISHED |
| Object | 1955-07-17 |
—
|
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: 1955-07-17 | Statement: [Main Street, U.S.A., firstOpened, 1955-07-17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOpened Context triple: [Main Street, U.S.A., firstOpened, 1955-07-17]
-
A.
firstOpenedAt
chosen
Indicates the date and time at which something was initially opened for the first time.
-
B.
firstLineOpened
Indicates that the first line of something (e.g., a document, file, or text block) has been opened or accessed.
-
C.
firstSectionOpened
Indicates that the initial section in a sequence or structure has been opened or activated.
-
D.
initialOpening
Indicates the first or earliest instance in which something is opened, begun, or made accessible.
-
E.
openedFirstLine
Indicates that one entity initiated the opening of something (e.g., a file, document, or interface) before any other entity did, being the first to perform the opening action.
- 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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bd1c9a081909759e5bf5237204e |
completed | March 31, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69cb047a8e4c81909b79e0f0bf56440c |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:13 p.m.