Triple
T7227192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Java |
E154809
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Blora
Blora is a regency-level town in Indonesia known for its teak forests and cultural heritage, located in the eastern part of Central Java.
|
E679039
|
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: Blora | Statement: [Central Java, hasMajorCity, Blora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blora Context triple: [Central Java, hasMajorCity, Blora]
-
A.
Purworejo
Purworejo is a regency in Central Java, Indonesia, known for its agricultural landscape and proximity to the southern coast of Java.
-
B.
Demak
Demak is a historic coastal town in Central Java, Indonesia, known as an early center of Islamic rule and trade in the region.
-
C.
Wonosobo
Wonosobo is a highland town in Central Java, Indonesia, known as a gateway to the Dieng Plateau and its scenic volcanic landscapes.
-
D.
Jepara
Jepara is a coastal town in Central Java, Indonesia, historically renowned as a major trading port and shipbuilding center, and today known for its woodcarving and furniture industry.
-
E.
Trenggalek
Trenggalek is a regency and its capital town in southern East Java, Indonesia, known for its coastal landscapes, caves, and agricultural economy.
- 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: Blora Triple: [Central Java, hasMajorCity, Blora]
Generated description
Blora is a regency-level town in Indonesia known for its teak forests and cultural heritage, located in the eastern part of Central Java.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blora Target entity description: Blora is a regency-level town in Indonesia known for its teak forests and cultural heritage, located in the eastern part of Central Java.
-
A.
Purworejo
Purworejo is a regency in Central Java, Indonesia, known for its agricultural landscape and proximity to the southern coast of Java.
-
B.
Demak
Demak is a historic coastal town in Central Java, Indonesia, known as an early center of Islamic rule and trade in the region.
-
C.
Wonosobo
Wonosobo is a highland town in Central Java, Indonesia, known as a gateway to the Dieng Plateau and its scenic volcanic landscapes.
-
D.
Jepara
Jepara is a coastal town in Central Java, Indonesia, historically renowned as a major trading port and shipbuilding center, and today known for its woodcarving and furniture industry.
-
E.
Trenggalek
Trenggalek is a regency and its capital town in southern East Java, Indonesia, known for its coastal landscapes, caves, and agricultural economy.
- 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_69c89a63b7e481909198ea21d7ee5159 |
completed | March 29, 2026, 3:20 a.m. |
| NEDg | Description generation | batch_69c89c3cec988190abc4869dda1b4d05 |
completed | March 29, 2026, 3:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c89c7494b081909862cbaa1152cfb7 |
completed | March 29, 2026, 3:28 a.m. |
Created at: March 27, 2026, 2:54 p.m.