Triple
T16515684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Hero of Afghanistan |
E401176
|
entity |
| Predicate | languageNamePashto |
P101264
|
FINISHED |
| Object | د افغانستان ملي اتل |
—
|
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: د افغانستان ملي اتل | Statement: [National Hero of Afghanistan, languageNamePashto, د افغانستان ملي اتل]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageNamePashto Context triple: [National Hero of Afghanistan, languageNamePashto, د افغانستان ملي اتل]
-
A.
hasLocalNameInPashto
chosen
Indicates that an entity has a specific local name expressed in the Pashto language.
-
B.
languageName_Uzbek
Indicates that the associated entity has Uzbek as its language name.
-
C.
hasNameInUrdu
Indicates that an entity is associated with a specific name expressed in the Urdu language.
-
D.
citizenshipTermInPashto
Indicates that a specified citizenship-related term or designation is expressed in the Pashto language.
-
E.
isInPakistan
Indicates that the subject is located within the geographical boundaries of Pakistan.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e7bbfa481909037148cdb4d8996 |
completed | April 18, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69e296995d388190b88ebe189dce890d |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:14 a.m.