Triple
T11607144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonio Saca |
E275289
|
entity |
| Predicate | orderedToPay |
P87620
|
FINISHED |
| Object | civil reparations to the Salvadoran state |
—
|
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: civil reparations to the Salvadoran state | Statement: [Antonio Saca, orderedToPay, civil reparations to the Salvadoran state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderedToPay Context triple: [Antonio Saca, orderedToPay, civil reparations to the Salvadoran state]
-
A.
orderedBy
Indicates that one entity has placed a request or purchase for another entity, typically specifying who initiated the order.
-
B.
orderedToBear
chosen
Indicates that one entity has issued a command or directive requiring another entity to carry, support, or endure something.
-
C.
orderAuthority
Indicates that one entity has the formal power or right to issue orders or directives to another entity.
-
D.
orderedProtectionBy
Indicates that one entity has formally requested or arranged protective measures to be provided by another entity.
-
E.
ordersBy
Indicates that one entity arranges, sorts, or sequences another entity according to a specified criterion or set of criteria.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89551649c81908096ff392677442d |
completed | April 10, 2026, 6:14 a.m. |
| PD | Predicate disambiguation | batch_69d85dd20d188190863d1190d4c16048 |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.