Triple
T8837489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Lamongan |
E210301
|
entity |
| Predicate | nearSettlement |
P3883
|
FINISHED |
| Object |
Klakah
Klakah is a town in East Java, Indonesia, situated close to Mount Lamongan and known for its surrounding volcanic lakes and agricultural landscape.
|
E764989
|
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: Klakah | Statement: [Mount Lamongan, nearSettlement, Klakah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klakah Context triple: [Mount Lamongan, nearSettlement, Klakah]
-
A.
Tahkuna
Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
-
B.
Kaiten
Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
-
C.
Krakhuna
Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
-
D.
Kulon
Kulon is an extinct Papuan language once spoken in the interior of West Papua, Indonesia.
-
E.
Kalabahi
Kalabahi is the main town and administrative center on Alor Island in Indonesia’s East Nusa Tenggara province.
- 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: Klakah Triple: [Mount Lamongan, nearSettlement, Klakah]
Generated description
Klakah is a town in East Java, Indonesia, situated close to Mount Lamongan and known for its surrounding volcanic lakes and agricultural landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Klakah Target entity description: Klakah is a town in East Java, Indonesia, situated close to Mount Lamongan and known for its surrounding volcanic lakes and agricultural landscape.
-
A.
Tahkuna
Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
-
B.
Kaiten
Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
-
C.
Krakhuna
Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
-
D.
Kulon
Kulon is an extinct Papuan language once spoken in the interior of West Papua, Indonesia.
-
E.
Kalabahi
Kalabahi is the main town and administrative center on Alor Island in Indonesia’s East Nusa Tenggara province.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc606adde08190825dbdabd199c025 |
completed | April 1, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab79954081908c727d0561208f9c |
completed | April 3, 2026, 11:58 a.m. |
| NEDg | Description generation | batch_69cfad8cb9cc81909d4df290c7411898 |
completed | April 3, 2026, 12:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfae0141b48190a443ae181a495bf6 |
completed | April 3, 2026, 12:09 p.m. |
Created at: March 30, 2026, 6:48 p.m.