Triple
T20692926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Merbabu |
E508594
|
entity |
| Predicate | hasSummitName |
P17095
|
FINISHED |
| Object |
Kenteng Songo
Kenteng Songo is one of the main summits of Mount Merbabu, a popular hiking and volcanic mountain destination in Central Java, Indonesia.
|
E1445451
|
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: Kenteng Songo | Statement: [Mount Merbabu, hasSummitName, Kenteng Songo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenteng Songo Context triple: [Mount Merbabu, hasSummitName, Kenteng Songo]
-
A.
Sengkuni
Sengkuni is a cunning and manipulative character in Javanese adaptations of the Mahabharata, often portrayed as a scheming advisor who fuels conflict and deceit.
-
B.
Serenggeh
Serenggeh is one of the smaller islands within Malaysia’s Perhentian Islands archipelago, known for its tropical marine environment and proximity to popular diving and snorkeling sites.
-
C.
Sengkang
Sengkang is a town in South Sulawesi, Indonesia, known as an administrative and commercial center in the Wajo area.
-
D.
Mangseng
Mangseng is an Oceanic language spoken in parts of western Melanesia, belonging to the Western Oceanic branch of the Austronesian language family.
-
E.
Bontosunggu
Bontosunggu is the administrative and economic center of Jeneponto Regency in South Sulawesi, Indonesia.
- 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: Kenteng Songo Triple: [Mount Merbabu, hasSummitName, Kenteng Songo]
Generated description
Kenteng Songo is one of the main summits of Mount Merbabu, a popular hiking and volcanic mountain destination in Central Java, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kenteng Songo Target entity description: Kenteng Songo is one of the main summits of Mount Merbabu, a popular hiking and volcanic mountain destination in Central Java, Indonesia.
-
A.
Sengkuni
Sengkuni is a cunning and manipulative character in Javanese adaptations of the Mahabharata, often portrayed as a scheming advisor who fuels conflict and deceit.
-
B.
Serenggeh
Serenggeh is one of the smaller islands within Malaysia’s Perhentian Islands archipelago, known for its tropical marine environment and proximity to popular diving and snorkeling sites.
-
C.
Sengkang
Sengkang is a town in South Sulawesi, Indonesia, known as an administrative and commercial center in the Wajo area.
-
D.
Mangseng
Mangseng is an Oceanic language spoken in parts of western Melanesia, belonging to the Western Oceanic branch of the Austronesian language family.
-
E.
Bontosunggu
Bontosunggu is the administrative and economic center of Jeneponto Regency in South Sulawesi, Indonesia.
- 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_69e6c10fc4088190ab71ef078600954b |
completed | April 21, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08d7e43a3c81909f63e63e30e9c435 |
completed | May 16, 2026, 8:47 p.m. |
| NEDg | Description generation | batch_6a08d91216bc8190909e0e37f6d5e612 |
completed | May 16, 2026, 8:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d99214b48190b0ffba4026d3fa39 |
completed | May 16, 2026, 8:54 p.m. |
Created at: April 16, 2026, 12:09 p.m.