Triple

T10724115
Position Surface form Disambiguated ID Type / Status
Subject Wilderness of Paran E252893 entity
Predicate nameForm P1081 FINISHED
Object Paran E700486 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: Paran | Statement: [Wilderness of Paran, nameForm, Paran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paran
Context triple: [Wilderness of Paran, nameForm, Paran]
  • A. Paran chosen
    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.
  • B. Paranesti
    Paranesti is a small town and municipality in northeastern Greece, known for its mountainous landscapes, forests, and proximity to the Nestos River.
  • C. Parakar
    Parakar is a village in Armenia’s Armavir Province, situated near the capital Yerevan and known for its proximity to Zvartnots International Airport.
  • D. Parea
    Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
  • E. Paranik
    Paranik is a traditional leadership role within the Santal community, associated with guiding social and cultural affairs.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70d46234081908e147638d0cb7e22 completed April 9, 2026, 2:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb741a174819098aafac90d29d50a completed April 12, 2026, 3:16 p.m.
Created at: April 8, 2026, 9:14 p.m.