Triple

T10780726
Position Surface form Disambiguated ID Type / Status
Subject Manohar International Airport, Mopa E254311 entity
Predicate nearbyPlace P2064 FINISHED
Object Pernem
Pernem is a town and administrative region in North Goa, India, known for its coastal villages, beaches, and proximity to major transport links.
E886376 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: Pernem | Statement: [Manohar International Airport, Mopa, nearbyPlace, Pernem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pernem
Context triple: [Manohar International Airport, Mopa, nearbyPlace, Pernem]
  • A. Ilpendam
    Ilpendam is a small village in the Dutch province of North Holland, known for its traditional rural character and proximity to Amsterdam.
  • B. Pernis
    Pernis is a major industrial and petrochemical area within the Port of Rotterdam, best known for hosting one of the largest oil refineries in the world.
  • C. Herpen
    Herpen is a village in the Dutch province of North Brabant that forms part of the municipality of Oss.
  • D. Kortenberg
    Kortenberg is a municipality in the Flemish Brabant province of Belgium, located between Brussels and Leuven and known for its residential character and green surroundings.
  • E. Pepinster
    Pepinster is a municipality in the province of Liège in eastern Belgium, known for its location in the Vesdre valley.
  • 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: Pernem
Triple: [Manohar International Airport, Mopa, nearbyPlace, Pernem]
Generated description
Pernem is a town and administrative region in North Goa, India, known for its coastal villages, beaches, and proximity to major transport links.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pernem
Target entity description: Pernem is a town and administrative region in North Goa, India, known for its coastal villages, beaches, and proximity to major transport links.
  • A. Ilpendam
    Ilpendam is a small village in the Dutch province of North Holland, known for its traditional rural character and proximity to Amsterdam.
  • B. Pernis
    Pernis is a major industrial and petrochemical area within the Port of Rotterdam, best known for hosting one of the largest oil refineries in the world.
  • C. Herpen
    Herpen is a village in the Dutch province of North Brabant that forms part of the municipality of Oss.
  • D. Kortenberg
    Kortenberg is a municipality in the Flemish Brabant province of Belgium, located between Brussels and Leuven and known for its residential character and green surroundings.
  • E. Pepinster
    Pepinster is a municipality in the province of Liège in eastern Belgium, known for its location in the Vesdre valley.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732c48c488190a2b3162202b74726 completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69de55fbfc70819098eb40cf0d1b9e8c completed April 14, 2026, 2:58 p.m.
NEDg Description generation batch_69de5eacae148190b7ca2da87427572e completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de6397ff688190b6788489895a5360 completed April 14, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:17 p.m.