Triple
T21268455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pastry War |
E524190
|
entity |
| Predicate | demandedIndemnityAmount |
P19678
|
FINISHED |
| Object | 600000 pesos |
—
|
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: 600000 pesos | Statement: [Pastry War, demandedIndemnityAmount, 600000 pesos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demandedIndemnityAmount Context triple: [Pastry War, demandedIndemnityAmount, 600000 pesos]
-
A.
warIndemnityAmount
chosen
Indicates the amount of financial compensation required or paid as indemnity as a result of a war or armed conflict.
-
B.
hasIndemnity
Indicates that one party provides indemnification or protection to another party against specified losses, damages, or liabilities.
-
C.
indemnityBasis
Indicates that one party’s obligation to compensate another for loss, damage, or liability is determined according to a specified indemnification standard or method.
-
D.
requiredIndemnityReceiver
Indicates that one party is obligated to provide indemnity (compensation or protection against loss) to another specified party.
-
E.
amountInvolvedApprox
Indicates that the relationship specifies an approximate value or quantity involved in an action, event, or transaction.
- 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_69e0b5156d7881909bd4f83676590715 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735ee38cc81909b4e7c5996bb64f9 |
completed | April 21, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69e5f6161dac8190b06009cd180e3ff7 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 16, 2026, 4 p.m.