Triple
T12621441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of Fort Pitt (1778) |
E301387
|
entity |
| Predicate | grantedByLenape |
P2246
|
FINISHED |
| Object | right of way for American troops |
—
|
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: right of way for American troops | Statement: [Treaty of Fort Pitt (1778), grantedByLenape, right of way for American troops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantedByLenape Context triple: [Treaty of Fort Pitt (1778), grantedByLenape, right of way for American troops]
-
A.
landGrantedBy
Indicates that one party has given or transferred legal rights to a piece of land to another party.
-
B.
grantedBy
chosen
Indicates that a right, permission, or benefit is conferred or authorized by one entity to another.
-
C.
grantedIn
Indicates that something (such as a right, status, or permission) is formally conferred or authorized within a particular context, document, or jurisdiction.
-
D.
grantedCapitulationsTo
Indicates that one entity formally granted special rights, privileges, or concessions (capitulations) to another entity.
-
E.
treatyRights
Indicates that there exist rights, obligations, or privileges established by a formal treaty between parties.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b195108190ac25bd95e644ace4 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:14 p.m.