Triple
T7227202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Java |
E154809
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Purbalingga
Purbalingga is a regency and its capital town in Central Java, Indonesia, known for its manufacturing industries and proximity to mountainous tourist areas.
|
E683433
|
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: Purbalingga | Statement: [Central Java, hasMajorCity, Purbalingga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Purbalingga Context triple: [Central Java, hasMajorCity, Purbalingga]
-
A.
Trenggalek
Trenggalek is a regency and its capital town in southern East Java, Indonesia, known for its coastal landscapes, caves, and agricultural economy.
-
B.
Mojokerto
Mojokerto is a city in Indonesia known for its historical significance as part of the former Majapahit Empire and its location in the province of East Java.
-
C.
Probolinggo
Probolinggo is a coastal city in East Java, Indonesia, known as a common gateway for tourists visiting the Mount Bromo volcanic area.
-
D.
Tulungagung
Tulungagung is a regency and urban center in southern East Java, Indonesia, known for its marble industry and coastal landscapes along the Indian Ocean.
-
E.
Nganjuk
Nganjuk is a regency capital and regional urban center in the province of East Java, 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: Purbalingga Triple: [Central Java, hasMajorCity, Purbalingga]
Generated description
Purbalingga is a regency and its capital town in Central Java, Indonesia, known for its manufacturing industries and proximity to mountainous tourist areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Purbalingga Target entity description: Purbalingga is a regency and its capital town in Central Java, Indonesia, known for its manufacturing industries and proximity to mountainous tourist areas.
-
A.
Trenggalek
Trenggalek is a regency and its capital town in southern East Java, Indonesia, known for its coastal landscapes, caves, and agricultural economy.
-
B.
Mojokerto
Mojokerto is a city in Indonesia known for its historical significance as part of the former Majapahit Empire and its location in the province of East Java.
-
C.
Probolinggo
Probolinggo is a coastal city in East Java, Indonesia, known as a common gateway for tourists visiting the Mount Bromo volcanic area.
-
D.
Tulungagung
Tulungagung is a regency and urban center in southern East Java, Indonesia, known for its marble industry and coastal landscapes along the Indian Ocean.
-
E.
Nganjuk
Nganjuk is a regency capital and regional urban center in the province of East Java, 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_69c68811dd1c8190ac460bb39e64e1f0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6e9df72cc81908d1c04e6e310fbb4 |
completed | March 27, 2026, 8:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8ac7b53488190a00978e936b563ac |
completed | March 29, 2026, 4:37 a.m. |
| NEDg | Description generation | batch_69c8af2fdd048190ad54dc9a4396d171 |
completed | March 29, 2026, 4:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8afe14810819094a236fb8f96e562 |
completed | March 29, 2026, 4:51 a.m. |
Created at: March 27, 2026, 2:54 p.m.