Triple
T35561520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3K |
E1027646
|
entity |
| Predicate | usesTwoLetterCode |
P192324
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [3K, usesTwoLetterCode, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTwoLetterCode Context triple: [3K, usesTwoLetterCode, true]
-
A.
isTwoLetterCode
Indicates that something functions as a two-letter abbreviated code representing a larger name or concept.
-
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.
usesISO3166-2Code
Indicates that an entity employs or references a subdivision identifier defined by the ISO 3166-2 standard.
-
D.
ISO3166-1Code
Indicates the standardized two- or three-letter country or territory code assigned under the ISO 3166-1 international standard.
-
E.
hasCountryAbbreviation
Indicates that an entity is associated with a specific standardized abbreviated form of a country’s name.
- 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
| PDg | Predicate description generation | batch_69fd05b965608190a3666410b9f8e125 |
completed | May 7, 2026, 9:35 p.m. |
Created at: May 3, 2026, 4:04 p.m.