Triple

T4186135
Position Surface form Disambiguated ID Type / Status
Subject Airlangga E88315 entity
Predicate successor P78 FINISHED
Object Janggala E414969 NE FINISHED

How this triple was built (2 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: Janggala | Statement: [Airlangga, successor, Janggala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Janggala
Context triple: [Airlangga, successor, Janggala]
  • A. Janggala chosen
    Janggala was an 11th-century Javanese kingdom formed from the division of the Kahuripan realm, playing a key role in the early political history of East Java in Indonesia.
  • B. Shabara
    Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
  • C. Bori
    Bori is a prominent urban center in Nigeria’s Rivers State, serving as an important commercial and administrative hub for the surrounding region.
  • D. Kachera
    Kachera are traditional cotton undergarments worn by initiated Sikhs as one of the Five Ks, symbolizing modesty, self-control, and readiness.
  • E. Tongelre
    Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed9477e8c81908bcb862d2db55b1d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af032490888190bbfa422003caca99 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a00e3308190b4fbed211069204a completed March 14, 2026, 4:17 p.m.
Created at: March 9, 2026, 3:45 p.m.