Triple
T9478042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auslan |
E228563
|
entity |
| Predicate | hasISO6393Code |
P8719
|
FINISHED |
| Object |
asf
asf is the ISO 639-3 language code assigned to Auslan, the sign language used by the Australian Deaf community.
|
E802659
|
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: asf | Statement: [Auslan, hasISO6393Code, asf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: asf Context triple: [Auslan, hasISO6393Code, asf]
-
A.
ASF
ASF is the commonly used acronym for the Apache Software Foundation, a nonprofit organization that supports numerous open-source software projects.
-
B.
ASF
ASF is a major professional regional theatre company in Montgomery, Alabama, renowned for its productions of Shakespearean and contemporary plays.
-
C.
ASF
ASF (Advanced Systems Format) is a Microsoft-developed digital audio/video container format designed primarily for streaming media over networks.
-
D.
ASF
ASF is a major French motorway concession company responsible for operating and maintaining a significant portion of France’s autoroute network.
-
E.
ASF
ASF is the acronym for the African Standby Force, a continental, multidisciplinary peacekeeping and rapid-deployment force established by the African Union to respond to conflicts and crises in Africa.
- 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: asf Triple: [Auslan, hasISO6393Code, asf]
Generated description
asf is the ISO 639-3 language code assigned to Auslan, the sign language used by the Australian Deaf community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: asf Target entity description: asf is the ISO 639-3 language code assigned to Auslan, the sign language used by the Australian Deaf community.
-
A.
ASF
ASF is the commonly used acronym for the Apache Software Foundation, a nonprofit organization that supports numerous open-source software projects.
-
B.
ASF
ASF is a major professional regional theatre company in Montgomery, Alabama, renowned for its productions of Shakespearean and contemporary plays.
-
C.
ASF
ASF (Advanced Systems Format) is a Microsoft-developed digital audio/video container format designed primarily for streaming media over networks.
-
D.
ASF
ASF is a major French motorway concession company responsible for operating and maintaining a significant portion of France’s autoroute network.
-
E.
ASF
ASF is the acronym for the African Standby Force, a continental, multidisciplinary peacekeeping and rapid-deployment force established by the African Union to respond to conflicts and crises in Africa.
- 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd801386948190890133f622ff360b |
completed | April 1, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12cf057908190a0541f0fed4ffd13 |
completed | April 4, 2026, 3:23 p.m. |
| NEDg | Description generation | batch_69d130d9e9c08190866ac7ca6a7960aa |
completed | April 4, 2026, 3:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d131268cd881909b3666bc20442405 |
completed | April 4, 2026, 3:41 p.m. |
Created at: March 30, 2026, 7:54 p.m.