Triple
T12455027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilpena Pound |
E297634
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Ikara
Ikara is the traditional Aboriginal name for Wilpena Pound, a spectacular natural amphitheatre of mountains in South Australia's Flinders Ranges.
|
E983711
|
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: Ikara | Statement: [Wilpena Pound, hasAlternativeName, Ikara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ikara Context triple: [Wilpena Pound, hasAlternativeName, Ikara]
-
A.
Kirakira
Kirakira is a small coastal town in the Solomon Islands that serves as the administrative and commercial center of Makira-Ulawa Province.
-
B.
Kitakata
Kitakata is a city in northern Japan renowned for its traditional kura storehouses and distinctive Kitakata-style ramen.
-
C.
Ikire
Ikire is a prominent town in southwestern Nigeria known for its location along major transport routes and its distinctive local delicacies, particularly “dodo Ikire.”
-
D.
Nakoruru
Nakoruru is a popular Samurai Shodown character known as a nature-loving Ainu shrine maiden who fights alongside her hawk and wolf companions.
-
E.
IKAR
IKAR is the former brand name of the Russian airline now known as Pegas Fly, which operates domestic and international passenger services.
- 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: Ikara Triple: [Wilpena Pound, hasAlternativeName, Ikara]
Generated description
Ikara is the traditional Aboriginal name for Wilpena Pound, a spectacular natural amphitheatre of mountains in South Australia's Flinders Ranges.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ikara Target entity description: Ikara is the traditional Aboriginal name for Wilpena Pound, a spectacular natural amphitheatre of mountains in South Australia's Flinders Ranges.
-
A.
Kirakira
Kirakira is a small coastal town in the Solomon Islands that serves as the administrative and commercial center of Makira-Ulawa Province.
-
B.
Kitakata
Kitakata is a city in northern Japan renowned for its traditional kura storehouses and distinctive Kitakata-style ramen.
-
C.
Ikire
Ikire is a prominent town in southwestern Nigeria known for its location along major transport routes and its distinctive local delicacies, particularly “dodo Ikire.”
-
D.
Nakoruru
Nakoruru is a popular Samurai Shodown character known as a nature-loving Ainu shrine maiden who fights alongside her hawk and wolf companions.
-
E.
IKAR
IKAR is the former brand name of the Russian airline now known as Pegas Fly, which operates domestic and international passenger services.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94da2a3cc81908de5a85257627fe2 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f190c788190adceaab8117d52a6 |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f6405f9f6481909bcc3b2e3deeae7e |
completed | May 2, 2026, 6:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64168d23881908daee7d7cba2160d |
completed | May 2, 2026, 6:24 p.m. |
Created at: April 8, 2026, 9:56 p.m.