Triple
T9941374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mojokerto |
E194089
|
entity |
| Predicate | transportConnection |
P1298
|
FINISHED |
| Object |
Kertosono
Kertosono is a town in East Java, Indonesia, known as a regional transport hub linking major cities and routes across the province.
|
E832679
|
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: Kertosono | Statement: [Mojokerto, transportConnection, Kertosono]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kertosono Context triple: [Mojokerto, transportConnection, Kertosono]
-
A.
Kutoarjo
Kutoarjo is a town in Central Java, Indonesia, known as a regional transport hub and local commercial center.
-
B.
Kusno
Kusno was the birth name of Sukarno, the first President of Indonesia and a leading figure in the country’s independence movement.
-
C.
Toundano
Toundano is an alternative name for the Tondano language, an Austronesian language spoken in North Sulawesi, Indonesia.
-
D.
Sukoró
Sukoró is a village in Hungary’s Fejér County, known as a lakeside resort and recreational area on the northern shore of Lake Velence.
-
E.
Toboali
Toboali is a coastal town and administrative center in the southern part of Bangka Island in Indonesia, known historically for its tin mining activities.
- 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: Kertosono Triple: [Mojokerto, transportConnection, Kertosono]
Generated description
Kertosono is a town in East Java, Indonesia, known as a regional transport hub linking major cities and routes across the province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kertosono Target entity description: Kertosono is a town in East Java, Indonesia, known as a regional transport hub linking major cities and routes across the province.
-
A.
Kutoarjo
Kutoarjo is a town in Central Java, Indonesia, known as a regional transport hub and local commercial center.
-
B.
Kusno
Kusno was the birth name of Sukarno, the first President of Indonesia and a leading figure in the country’s independence movement.
-
C.
Toundano
Toundano is an alternative name for the Tondano language, an Austronesian language spoken in North Sulawesi, Indonesia.
-
D.
Sukoró
Sukoró is a village in Hungary’s Fejér County, known as a lakeside resort and recreational area on the northern shore of Lake Velence.
-
E.
Toboali
Toboali is a coastal town and administrative center in the southern part of Bangka Island in Indonesia, known historically for its tin mining activities.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb610905c81909d669265c92021a5 |
completed | April 2, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d5095e08190a34ff73ab7bcf8a6 |
completed | April 5, 2026, 10:45 a.m. |
| NEDg | Description generation | batch_69d24135c0b88190ad018858b99e0bde |
completed | April 5, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d241ca07b481908a2852ed15ed5cf2 |
completed | April 5, 2026, 11:04 a.m. |
Created at: March 30, 2026, 8:44 p.m.