Triple
T22311164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Sun |
E551515
|
entity |
| Predicate | priceAtFounding |
P148004
|
FINISHED |
| Object | one penny |
—
|
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: one penny | Statement: [New York Sun, priceAtFounding, one penny]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: priceAtFounding Context triple: [New York Sun, priceAtFounding, one penny]
-
A.
foundedAt
Indicates the time or date at which an entity (such as an organization, project, or institution) was established or created.
-
B.
eraOfEstablishment
Indicates the time period or historical era during which an entity was founded or established.
-
C.
foundationFoundedIn
Indicates that a foundation was established or came into existence in a specific year or time period.
-
D.
foundedAs
Indicates the original name or form under which an organization, institution, or entity was first established.
-
E.
coFoundedInYear
Indicates that two or more entities jointly founded something (such as an organization or company) in a specified year.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1574e7fc0819080e3e85001ab2c90 |
completed | April 29, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69e72ffa438481908f80879aef2a589b |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e75dc7b08081909d64441e979c2fa4 |
completed | April 21, 2026, 11:21 a.m. |
Created at: April 16, 2026, 8:42 p.m.