Triple

T16362016
Position Surface form Disambiguated ID Type / Status
Subject Ramtha E397334 entity
Predicate locatedOn P40 FINISHED
Object Hauran plain E946576 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: Hauran plain | Statement: [Ramtha, locatedOn, Hauran plain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hauran plain
Context triple: [Ramtha, locatedOn, Hauran plain]
  • A. Hauran plain chosen
    The Hauran plain is a fertile volcanic plateau in southern Syria known historically for its rich agriculture and dense rural settlement.
  • B. Çarşamba Plain
    Çarşamba Plain is a fertile agricultural lowland in northern Turkey, situated near the Black Sea coast in Samsun Province.
  • C. Mesaoria plain
    The Mesaoria plain is the broad central lowland of Cyprus, known for its fertile agricultural land and for containing the island’s capital region.
  • D. Myzeqe plain
    The Myzeqe plain is a fertile lowland region in western Albania, known for its agriculture and proximity to important ancient sites such as Apollonia.
  • E. Vigrid plain
    Vigrid plain is the vast mythological battlefield in Norse mythology where the final apocalyptic conflict of Ragnarök is foretold to take place.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff39f8308190865d024734992a76 completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dbeabe081909e3d02676293e8b2 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:08 a.m.