Triple
T31458378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IR |
E802517
|
entity |
| Predicate | denotesCountryFormerName |
P33813
|
FINISHED |
| Object | Persia |
—
|
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: Persia | Statement: [IR, denotesCountryFormerName, Persia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: denotesCountryFormerName Context triple: [IR, denotesCountryFormerName, Persia]
-
A.
laterNameOfCountry
Indicates that the referenced entity is a later or subsequent name adopted by a country that previously had a different name.
-
B.
associatedCountryBefore1980
Indicates that there was an association or relationship between the entities and the specified country that existed at some point before the year 1980.
-
C.
countryBefore1993
Indicates that the specified country existed or held a particular status prior to the year 1993.
-
D.
previousNameOfCountry
chosen
Indicates that one country name was formerly used as the official name of another country.
-
E.
countryAfterSuccession
Indicates that one country is the successor state that takes over from another country after a political or territorial succession.
- 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_69f348c678ac81908a2e950867619061 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b21e7e088190832a3db585daea1c |
completed | May 3, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 30, 2026, 9:18 p.m.