Triple
T2343751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashkun language |
E45083
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Askunu
Askunu is an Indo-Iranian language of the Nuristani group spoken by the Ashkun people in parts of eastern Afghanistan.
|
E258279
|
NE FINISHED |
How this triple was built (4 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: Askunu | Statement: [Ashkun language, hasAlternativeName, Askunu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Askunu Context triple: [Ashkun language, hasAlternativeName, Askunu]
-
A.
Askainen
Askainen is a village and former municipality in southwestern Finland known for its historic Loukko Manor and coastal rural landscape.
-
B.
Ant
Ant is a Java-based build automation tool commonly used to compile, package, and deploy Java applications using XML configuration files.
-
C.
Ako
Ako is a coastal city in southwestern Hyogo Prefecture, Japan, historically known for its salt production and the story of the Forty-seven Ronin.
-
D.
Asayish
Asayish is the internal security and police force operating in the Kurdish-led Autonomous Administration of North and East Syria, responsible for maintaining public order and internal security in the region.
-
E.
Askival
Askival is the prominent mountain peak that dominates the rugged landscape of the Isle of Rum in Scotland’s Inner Hebrides.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Askunu Triple: [Ashkun language, hasAlternativeName, Askunu]
Generated description
Askunu is an Indo-Iranian language of the Nuristani group spoken by the Ashkun people in parts of eastern Afghanistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Askunu Target entity description: Askunu is an Indo-Iranian language of the Nuristani group spoken by the Ashkun people in parts of eastern Afghanistan.
-
A.
Askainen
Askainen is a village and former municipality in southwestern Finland known for its historic Loukko Manor and coastal rural landscape.
-
B.
Ant
Ant is a Java-based build automation tool commonly used to compile, package, and deploy Java applications using XML configuration files.
-
C.
Ako
Ako is a coastal city in southwestern Hyogo Prefecture, Japan, historically known for its salt production and the story of the Forty-seven Ronin.
-
D.
Asayish
Asayish is the internal security and police force operating in the Kurdish-led Autonomous Administration of North and East Syria, responsible for maintaining public order and internal security in the region.
-
E.
Askival
Askival is the prominent mountain peak that dominates the rugged landscape of the Isle of Rum in Scotland’s Inner Hebrides.
- F. None of above. chosen
Provenance (5 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6ae33e881909a81a0c0def59059 |
completed | March 7, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae96253f0c81908b866c656c3f5bea |
completed | March 9, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ae96fc0b508190b1da6aa41cddc488 |
completed | March 9, 2026, 9:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae977aac9c8190b5fecd5fea8893fd |
completed | March 9, 2026, 9:48 a.m. |
Created at: March 4, 2026, 7:52 p.m.