Triple
T31458384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IR |
E802517
|
entity |
| Predicate | denotesCountryWithISO3166-1Entry |
P174104
|
FINISHED |
| Object | Iran |
—
|
NE NERFINISHED |
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: Iran | Statement: [IR, denotesCountryWithISO3166-1Entry, Iran]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: denotesCountryWithISO3166-1Entry Context triple: [IR, denotesCountryWithISO3166-1Entry, Iran]
-
A.
parentISO3166Code
Indicates that one geographic or political entity is hierarchically contained within or derived from another, as represented by its parent ISO 3166 country or region code.
-
B.
hasISO3166-1NumericCode
Indicates that an entity is associated with a specific ISO 3166-1 numeric country code.
-
C.
sharesISO3166CodeWith
Indicates that two entities are associated with and use the same ISO 3166 country code.
-
D.
usesISO3166-2Code
Indicates that an entity employs or references a subdivision identifier defined by the ISO 3166-2 standard.
-
E.
countryNameInISO
Indicates that the country’s name is expressed using the ISO-standardized country naming or coding format.
- 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_69f348c678ac81908a2e950867619061 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6bcc425588190afd0dceba43ed79f |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
| PDg | Predicate description generation | batch_69f6bbbe23d48190b2aa662d69b41900 |
completed | May 3, 2026, 3:06 a.m. |
Created at: April 30, 2026, 9:18 p.m.