Triple
T37120353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FR |
E919231
|
entity |
| Predicate | correspondsToAlpha3 |
P43262
|
FINISHED |
| Object | FRA |
—
|
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: FRA | Statement: [FR, correspondsToAlpha3, FRA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: correspondsToAlpha3 Context triple: [FR, correspondsToAlpha3, FRA]
-
A.
hasISO3166Alpha3Code
chosen
Indicates that an entity is associated with a specific three-letter country code defined by the ISO 3166-1 alpha-3 standard.
-
B.
hasISO3166-1Alpha2Country
Indicates that an entity is associated with a country identified by its ISO 3166-1 alpha-2 two-letter country code.
-
C.
correspondsToCountry
Indicates that one entity is associated with, matches, or represents a specific country.
-
D.
hasISO4217ThreeLetterCode
Indicates that an entity is associated with a specific three-letter currency code defined by the ISO 4217 standard.
-
E.
iso3166CodeBasedOn
Indicates that one code or designation is derived from, corresponds to, or is assigned on the basis of a specific ISO 3166 country or region code.
- 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_69f76e9c57148190ba789dd059645bb9 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:15 p.m.