Triple

T17097507
Position Surface form Disambiguated ID Type / Status
Subject Ngawen Temple E414886 entity
Predicate locatedIn P40 FINISHED
Object Muntilan
Muntilan is a town in Central Java, Indonesia, known for its historical and cultural heritage, including several ancient temples and its proximity to Mount Merapi.
E1253160 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: Muntilan | Statement: [Ngawen Temple, locatedIn, Muntilan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muntilan
Context triple: [Ngawen Temple, locatedIn, Muntilan]
  • A. Magelang
    Magelang is a city in Central Java, Indonesia, known as the gateway to the famous Borobudur Temple and for its surrounding volcanic and rural landscapes.
  • B. Salatiga
    Salatiga is a small city in Central Java, Indonesia, known for its cool climate, educational institutions, and location between Mount Merbabu and Mount Telomoyo.
  • C. Kepanjen
    Kepanjen is a town in East Java, Indonesia, known as an administrative and growing urban center within the Malang region.
  • D. Tuban
    Tuban is a major city in Yemen’s Lahij Governorate, serving as an important local center for administration and commerce.
  • E. Tuban
    Tuban is a coastal town and regency capital in northern East Java, Indonesia, known historically as a trading port and for its cultural and religious heritage sites.
  • 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: Muntilan
Triple: [Ngawen Temple, locatedIn, Muntilan]
Generated description
Muntilan is a town in Central Java, Indonesia, known for its historical and cultural heritage, including several ancient temples and its proximity to Mount Merapi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Muntilan
Target entity description: Muntilan is a town in Central Java, Indonesia, known for its historical and cultural heritage, including several ancient temples and its proximity to Mount Merapi.
  • A. Magelang
    Magelang is a city in Central Java, Indonesia, known as the gateway to the famous Borobudur Temple and for its surrounding volcanic and rural landscapes.
  • B. Salatiga
    Salatiga is a small city in Central Java, Indonesia, known for its cool climate, educational institutions, and location between Mount Merbabu and Mount Telomoyo.
  • C. Kepanjen
    Kepanjen is a town in East Java, Indonesia, known as an administrative and growing urban center within the Malang region.
  • D. Tuban
    Tuban is a major city in Yemen’s Lahij Governorate, serving as an important local center for administration and commerce.
  • E. Tuban
    Tuban is a coastal town and regency capital in northern East Java, Indonesia, known historically as a trading port and for its cultural and religious heritage sites.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbfe92988190aa066745ca9791d5 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0141422d6c819086dc98988c0851d9 completed May 11, 2026, 2:38 a.m.
NEDg Description generation batch_6a01437dd094819093603356fa2c2582 completed May 11, 2026, 2:48 a.m.
NED2 Entity disambiguation (via description) batch_6a014416c6a08190aeca937990d2b5a2 completed May 11, 2026, 2:51 a.m.
Created at: April 10, 2026, 5:35 a.m.