Triple
T14208764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Braavos |
E352168
|
entity |
| Predicate | currencyInfluence |
P113217
|
FINISHED |
| Object | loans to the Iron Throne |
—
|
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: loans to the Iron Throne | Statement: [Braavos, currencyInfluence, loans to the Iron Throne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currencyInfluence Context triple: [Braavos, currencyInfluence, loans to the Iron Throne]
-
A.
influencedCurrencyName
Indicates that one currency has affected or shaped the value, status, or characteristics of another currency.
-
B.
currencyOrEconomy
Indicates that there is a relationship involving the type, status, or characteristics of a currency or economic system associated with an entity.
-
C.
currency
Indicates that one entity serves as the medium of exchange or monetary unit used by another entity (such as a country, region, or system).
-
D.
currencyProject
Indicates a relationship where a project is associated with, uses, or is denominated in a particular currency.
-
E.
currencyExperimentResult
Indicates that a particular outcome or data point was produced as the result of a specific experiment involving currency.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61fa8d24819092a8ec5d34c1c799 |
completed | April 14, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69de05bcd7d48190a4848d9320404aa6 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239a02e881909b0e2679487e4ab2 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 10, 2026, 1:05 a.m.