Triple
T12059446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harpers Ferry Armory |
E287127
|
entity |
| Predicate | authorizedInYear |
P7919
|
FINISHED |
| Object | 1794 |
—
|
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: 1794 | Statement: [Harpers Ferry Armory, authorizedInYear, 1794]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorizedInYear Context triple: [Harpers Ferry Armory, authorizedInYear, 1794]
-
A.
authorizationYear
chosen
Indicates the year in which an official approval, permission, or authorization for something was granted.
-
B.
titleGrantedInYear
Indicates that a particular title was formally granted or conferred in a specified year.
-
C.
definedInYear
Indicates that something (such as an entity, concept, or item) was formally established, specified, or created in a particular calendar year.
-
D.
yearApproved
Indicates the specific year in which something (such as a proposal, product, or decision) was formally approved.
-
E.
activeInYear
Indicates that an entity was active, functioning, or operational during a specified year.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bda47c8190b94860b31df4a98c |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.