Triple

T1324676
Position Surface form Disambiguated ID Type / Status
Subject Ligurians E28298 entity
Predicate capitalOrMainCenter P2106 FINISHED
Object Luna
Luna was an ancient Roman town in northern Italy that served as a key urban and commercial center for the Ligurian region.
 E176043 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: Luna | Statement: [Ligurians, capitalOrMainCenter, Luna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luna
Context triple: [Ligurians, capitalOrMainCenter, Luna]
  • A. Luna
    Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
  • B. Selene
    Selene is the Greek goddess and personification of the Moon, often depicted driving a silver chariot across the night sky.
  • C. Juno
    Juno is the ancient Roman queen of the gods, associated with marriage, childbirth, and the protection of the state.
  • D. Juno
    Juno is a 2007 coming-of-age comedy-drama film about a witty teenager dealing with an unplanned pregnancy, widely praised for its sharp dialogue and performances.
  • E. Dysnomia
    Dysnomia is the small natural satellite of the distant dwarf planet Eris in the outer Solar System.
  • 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: Luna
Triple: [Ligurians, capitalOrMainCenter, Luna]
Generated description
Luna was an ancient Roman town in northern Italy that served as a key urban and commercial center for the Ligurian region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luna
Target entity description: Luna was an ancient Roman town in northern Italy that served as a key urban and commercial center for the Ligurian region.
  • A. Luna
    Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
  • B. Selene
    Selene is the Greek goddess and personification of the Moon, often depicted driving a silver chariot across the night sky.
  • C. Juno
    Juno is the ancient Roman queen of the gods, associated with marriage, childbirth, and the protection of the state.
  • D. Juno
    Juno is a 2007 coming-of-age comedy-drama film about a witty teenager dealing with an unplanned pregnancy, widely praised for its sharp dialogue and performances.
  • E. Dysnomia
    Dysnomia is the small natural satellite of the distant dwarf planet Eris in the outer Solar System.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c48d25608190b069fb4d0d460aa6 completed March 1, 2026, 10:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad3083a3748190b2404ef5edf90fd7 completed March 8, 2026, 8:17 a.m.
NEDg Description generation batch_69ad31dcdef0819093276857b247ecea completed March 8, 2026, 8:22 a.m.
NED2 Entity disambiguation (via description) batch_69ad32f287008190b66c9e626a0f39f1 completed March 8, 2026, 8:27 a.m.
Created at: March 1, 2026, 7:55 p.m.