Triple

T14243130
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Lajes das Flores E353061 entity
Predicate containsSettlement P847 FINISHED
Object Lomba E1085029 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: Lomba | Statement: [Municipality of Lajes das Flores, containsSettlement, Lomba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lomba
Context triple: [Municipality of Lajes das Flores, containsSettlement, Lomba]
  • A. Lomba chosen
    Lomba is a small settlement in the municipality of Santa Cruz das Flores on Flores Island in Portugal’s Azores archipelago.
  • B. Lawangan
    Lawangan is an Austronesian language spoken by the Lawangan people of central Kalimantan in Indonesia.
  • C. Reitaisai
    Reitaisai is a major annual Shinto festival held at Tsurugaoka Hachimangū Shrine in Kamakura, Japan, featuring traditional rituals and events such as horseback archery.
  • D. Gambol
    Gambol is a Gotham City mob boss in The Dark Knight who becomes one of the Joker’s early underworld adversaries.
  • E. Kortajarena
    Kortajarena is the surname of Spanish model and actor Jon Kortajarena, known internationally for his work in high fashion and film.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6244ad188190b9d9db7914240410 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd28235880819094f5983cce01b0fc completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:08 a.m.