Triple

T14195780
Position Surface form Disambiguated ID Type / Status
Subject Fong Lim E351831 entity
Predicate includesSuburb P41355 FINISHED
Object Parap E60401 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: Parap | Statement: [Fong Lim, includesSuburb, Parap]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parap
Context triple: [Fong Lim, includesSuburb, Parap]
  • A. Parap chosen
    Parap is an inner-city suburb of Darwin in Australia's Northern Territory, known for its popular weekend markets and tropical, laid-back atmosphere.
  • B. Parag
    Parag is a given name most notably associated with Parag Agrawal, the former CEO of Twitter.
  • C. Parah
    Parah is a tractate of the Mishnah that deals with the laws of the red heifer and the ritual purification from corpse impurity.
  • D. Parl
    Parl is the commonly used abbreviation for the Parliament of Singapore, the country's unicameral legislative body.
  • E. Paran
    Paran is a wilderness region in the Hebrew Bible traditionally located in the northern Sinai or southern Transjordan, associated with Israelite wanderings and prophetic activity.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e1fbd48190a4864fa4443f8f29 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194b32d88190aa74eef576152db3 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:04 a.m.