Triple
T20682526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wunda crater |
E508329
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Wunda
Wunda is a figure from Australian Aboriginal mythology, often regarded as a heroic or ancestral spirit.
|
E1444166
|
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: Wunda | Statement: [Wunda crater, namedAfter, Wunda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wunda Context triple: [Wunda crater, namedAfter, Wunda]
-
A.
Gigiri
Gigiri is an affluent diplomatic and residential district in Nairobi, Kenya, known for hosting major international institutions and embassies.
-
B.
Bago Yoma
Bago Yoma is a forested mountain range in central Myanmar that forms a natural divide between the Irrawaddy and Sittaung river basins.
-
C.
Mount Bubu
Mount Bubu is a forested mountain peak in Peninsular Malaysia, known as part of the central Titiwangsa mountain range and popular among local hikers.
-
D.
Sangotedo
Sangotedo is a rapidly developing suburban area in the Lekki–Epe corridor of Lagos, Nigeria, known for its growing residential estates and shopping centers.
-
E.
Chimbel
Chimbel is a village in North Goa, India, known for its proximity to the state capital Panaji and its rapidly urbanizing residential character.
- 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: Wunda Triple: [Wunda crater, namedAfter, Wunda]
Generated description
Wunda is a figure from Australian Aboriginal mythology, often regarded as a heroic or ancestral spirit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wunda Target entity description: Wunda is a figure from Australian Aboriginal mythology, often regarded as a heroic or ancestral spirit.
-
A.
Gigiri
Gigiri is an affluent diplomatic and residential district in Nairobi, Kenya, known for hosting major international institutions and embassies.
-
B.
Bago Yoma
Bago Yoma is a forested mountain range in central Myanmar that forms a natural divide between the Irrawaddy and Sittaung river basins.
-
C.
Mount Bubu
Mount Bubu is a forested mountain peak in Peninsular Malaysia, known as part of the central Titiwangsa mountain range and popular among local hikers.
-
D.
Sangotedo
Sangotedo is a rapidly developing suburban area in the Lekki–Epe corridor of Lagos, Nigeria, known for its growing residential estates and shopping centers.
-
E.
Chimbel
Chimbel is a village in North Goa, India, known for its proximity to the state capital Panaji and its rapidly urbanizing residential character.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6bea9771881908a077d01f53f6d52 |
completed | April 21, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd6f0ca88190972ddf687eabcf4d |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d176c3408190ab1d630fd8da2fc2 |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d206e6a081909f76b190c8dbc55d |
completed | May 16, 2026, 8:22 p.m. |
Created at: April 16, 2026, 11:45 a.m.