Triple
T1384872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sumba |
E29821
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Waikabubak
Waikabubak is a traditional town on the Indonesian island of Sumba known for its megalithic tombs and distinctive Marapu culture.
|
E157752
|
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: Waikabubak | Statement: [Sumba, hasTown, Waikabubak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waikabubak Context triple: [Sumba, hasTown, Waikabubak]
-
A.
Kuta Lombok
Kuta Lombok is a coastal town on the Indonesian island of Lombok known for its scenic white-sand beaches, surf breaks, and laid-back tourism atmosphere.
-
B.
Wawona
Wawona is a historic community and visitor area within Yosemite National Park in California, known for its scenic meadows, giant sequoias, and proximity to natural and cultural landmarks.
-
C.
Sembalun
Sembalun is a village in East Lombok, Indonesia, known as a primary gateway and starting point for treks up Mount Rinjani.
-
D.
Tangkuban Perahu
Tangkuban Perahu is a popular stratovolcano in West Java, Indonesia, known for its distinctive boat-like shape and easily accessible craters.
-
E.
Beppu
Beppu is a famous Japanese city on the island of Kyushu renowned for its numerous hot springs and geothermal attractions.
- 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: Waikabubak Triple: [Sumba, hasTown, Waikabubak]
Generated description
Waikabubak is a traditional town on the Indonesian island of Sumba known for its megalithic tombs and distinctive Marapu culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Waikabubak Target entity description: Waikabubak is a traditional town on the Indonesian island of Sumba known for its megalithic tombs and distinctive Marapu culture.
-
A.
Kuta Lombok
Kuta Lombok is a coastal town on the Indonesian island of Lombok known for its scenic white-sand beaches, surf breaks, and laid-back tourism atmosphere.
-
B.
Wawona
Wawona is a historic community and visitor area within Yosemite National Park in California, known for its scenic meadows, giant sequoias, and proximity to natural and cultural landmarks.
-
C.
Sembalun
Sembalun is a village in East Lombok, Indonesia, known as a primary gateway and starting point for treks up Mount Rinjani.
-
D.
Tangkuban Perahu
Tangkuban Perahu is a popular stratovolcano in West Java, Indonesia, known for its distinctive boat-like shape and easily accessible craters.
-
E.
Beppu
Beppu is a famous Japanese city on the island of Kyushu renowned for its numerous hot springs and geothermal attractions.
- 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_69a498dc92f8819094a1108f8ac90f43 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c33896548190b44f70c9aaaed9b6 |
completed | March 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd48e046c8190bc4820d6c4ce907d |
completed | March 8, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_69acd57bf87c8190ad22de7b5636fcfc |
completed | March 8, 2026, 1:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acd5e54e98819084ba0022ca64ff43 |
completed | March 8, 2026, 1:50 a.m. |
Created at: March 1, 2026, 7:59 p.m.