Triple
T4942239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portuguese people |
E110965
|
entity |
| Predicate | ISO3166-1Alpha2CountryCodeOfHomeCountry |
P19525
|
FINISHED |
| Object | PT |
—
|
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: PT | Statement: [Portuguese people, ISO3166-1Alpha2CountryCodeOfHomeCountry, PT]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ISO3166-1Alpha2CountryCodeOfHomeCountry Context triple: [Portuguese people, ISO3166-1Alpha2CountryCodeOfHomeCountry, PT]
-
A.
ISO3166-1Code
chosen
Indicates the standardized two- or three-letter country or territory code assigned under the ISO 3166-1 international standard.
-
B.
ISOCode
Indicates that an entity is associated with a specific standardized code defined by the International Organization for Standardization (ISO).
-
C.
ISO3166-2RegionCode
Indicates the standardized ISO 3166-2 code that specifies the particular primary administrative subdivision (such as a state, province, or region) to which an entity belongs.
-
D.
hasISO3166-1NumericCode
Indicates that an entity is associated with a specific ISO 3166-1 numeric country code.
-
E.
isTwoLetterCode
Indicates that something functions as a two-letter abbreviated code representing a larger name or concept.
- 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70a5f56481908365d0fe16892bf4 |
completed | March 20, 2026, 4:07 p.m. |
| PD | Predicate disambiguation | batch_69bd6c389b9881908ad7fb1c5393c1b1 |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:31 p.m.