Triple
T16515683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Hero of Afghanistan |
E401176
|
entity |
| Predicate | languageNameDari |
P123848
|
FINISHED |
| Object | قهرمان ملی افغانستان |
—
|
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: قهرمان ملی افغانستان | Statement: [National Hero of Afghanistan, languageNameDari, قهرمان ملی افغانستان]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageNameDari Context triple: [National Hero of Afghanistan, languageNameDari, قهرمان ملی افغانستان]
-
A.
languageName_Uzbek
Indicates that the associated entity has Uzbek as its language name.
-
B.
hasLocalNameInPashto
Indicates that an entity has a specific local name expressed in the Pashto language.
-
C.
hasNameInUrdu
Indicates that an entity is associated with a specific name expressed in the Urdu language.
-
D.
hasLadinName
Indicates that an entity is associated with a specific name expressed in the Ladin language.
-
E.
languageNameBosnian
Indicates that the associated entity’s language is identified as Bosnian.
- 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_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. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:14 a.m.