Triple
T34416148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of Montgomery |
E883406
|
entity |
| Predicate | stipulatedTributeAmount |
P175912
|
FINISHED |
| Object | fixed annual sum (exact figure varies by source) |
—
|
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: fixed annual sum (exact figure varies by source) | Statement: [Treaty of Montgomery, stipulatedTributeAmount, fixed annual sum (exact figure varies by source)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stipulatedTributeAmount Context triple: [Treaty of Montgomery, stipulatedTributeAmount, fixed annual sum (exact figure varies by source)]
-
A.
tributeAmount
chosen
Indicates the specific quantity or value of tribute that is owed, offered, or paid from one party to another.
-
B.
requiredTributeTo
Indicates that one entity is obligated to provide a tribute or payment to another entity.
-
C.
anonymousGiftsAmount
Indicates the total monetary value of gifts that were given anonymously, without revealing the giver’s identity.
-
D.
owedMoneyTo
Indicates that one entity has a financial obligation or debt that must be paid to another entity.
-
E.
typeOfTribute
Indicates the specific kind or category of tribute that is being given or required in a relationship.
- 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_69f349c2e3b88190a67834eb5bcffeaf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71947ad88819082ab9d85dd493b01 |
completed | May 3, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69f71824431081908d9685d2462ea242 |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:59 a.m.