Triple

T17279082
Position Surface form Disambiguated ID Type / Status
Subject Spartan mora E419469 entity
Predicate hasGreekName P3659 FINISHED
Object μόρα
μόρα is the Greek term for a basic tactical unit of the ancient Spartan army, typically comprising several hundred hoplite soldiers.
 E1260677 NE FINISHED

How this triple was built (4 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: μόρα | Statement: [Spartan mora, hasGreekName, μόρα]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: μόρα
Context triple: [Spartan mora, hasGreekName, μόρα]
  • A. 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.
  • B. MOR
    MOR is the ICAO airline designator assigned to the former U.S. low-fare carrier Morris Air.
  • C. 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.
  • D. MOR
    MOR is the IATA airport code for Morristown Regional Airport in Tennessee, United States.
  • E. MOR
    MOR is the former Ministry of Railways of the People’s Republic of China, the government body that once oversaw the country’s railway planning, construction, and operations.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: μόρα
Triple: [Spartan mora, hasGreekName, μόρα]
Generated description
μόρα is the Greek term for a basic tactical unit of the ancient Spartan army, typically comprising several hundred hoplite soldiers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: μόρα
Target entity description: μόρα is the Greek term for a basic tactical unit of the ancient Spartan army, typically comprising several hundred hoplite soldiers.
  • A. 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.
  • B. 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.
  • C. MOR
    MOR is the ICAO airline designator assigned to the former U.S. low-fare carrier Morris Air.
  • D. MOR
    MOR is the IATA airport code for Morristown Regional Airport in Tennessee, United States.
  • E. MOR
    MOR is the former Ministry of Railways of the People’s Republic of China, the government body that once oversaw the country’s railway planning, construction, and operations.
  • F. None of above. chosen

Provenance (5 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e433286f6c8190bf4a757707707e22 completed April 19, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0179513ffc81908bac515823e88a1a completed May 11, 2026, 6:38 a.m.
NEDg Description generation batch_6a017c351e908190bcd7bb751dc7f949 completed May 11, 2026, 6:50 a.m.
NED2 Entity disambiguation (via description) batch_6a017cad99688190aeaa388bf2d7d603 completed May 11, 2026, 6:52 a.m.
Created at: April 10, 2026, 5:40 a.m.