Triple
T11336952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SHCP |
E268493
|
entity |
| Predicate | creditFunction |
P98576
|
FINISHED |
| Object | negotiation of external public debt |
—
|
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: negotiation of external public debt | Statement: [SHCP, creditFunction, negotiation of external public debt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creditFunction Context triple: [SHCP, creditFunction, negotiation of external public debt]
-
A.
cardFunction
Indicates that one entity serves as the functional role, capability, or purpose associated with a card-related entity in a system.
-
B.
creditFlexibility
Indicates that one party allows adaptable or negotiable credit terms, limits, or repayment conditions for another party.
-
C.
creditsCanBe
Indicates that certain credits are permitted to be in a specified state, category, or usage condition.
-
D.
hasCredit
Indicates that an entity possesses or is assigned a credit, such as financial credit, academic credit, or acknowledgment for a contribution.
-
E.
hasCreditRating
Indicates that an entity is assigned a formal assessment of its creditworthiness, typically expressed as a credit score or rating.
- F. None of above. chosen
Provenance (4 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea008b5081908e6c6c6fc29ef936 |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787afe5a48190b8af1a3e19529641 |
completed | April 9, 2026, 11:04 a.m. |
| PDg | Predicate description generation | batch_69d796d049e88190a9fd7508f477f541 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:33 p.m.