Triple

T19941124
Position Surface form Disambiguated ID Type / Status
Subject Empusa E479308 entity
Predicate similarTo P4460 FINISHED
Object mormo NE NERFINISHED

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: mormo | Statement: [Empusa, similarTo, mormo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: mormo
Context triple: [Empusa, similarTo, mormo]
  • A. Mormo chosen
    Mormo is a female spirit or bogey figure from Greek folklore, often depicted as a child-devouring monster used to frighten children into good behavior.
  • B. MÖR
    MÖR is the station code for Mörby centrum, a metro station on the Stockholm Metro system in Sweden.
  • C. MOR
    MOR is the station code for Mo i Rana Station, a railway station in the town of Mo i Rana in Nordland county, Norway.
  • D. MOR
    MOR is the ICAO airline designator assigned to the former U.S. low-fare carrier Morris Air.
  • E. MOR
    MOR is the station code for Morges railway station, a key rail stop in the town of Morges in the canton of Vaud, Switzerland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a1a8df4819094e84855465df6c0 completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:54 p.m.