Triple

T10780642
Position Surface form Disambiguated ID Type / Status
Subject Goa International Airport E254309 entity
Predicate militaryBaseName P1869 FINISHED
Object INS Hansa E254307 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: INS Hansa | Statement: [Goa International Airport, militaryBaseName, INS Hansa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: INS Hansa
Context triple: [Goa International Airport, militaryBaseName, INS Hansa]
  • A. INS Hansa chosen
    INS Hansa is a major Indian Navy air station in Goa that serves as the naval aviation base co-located with Dabolim Airport.
  • B. MTU Friedrichshafen
    MTU Friedrichshafen is a German company specializing in the development and production of high-performance diesel engines and propulsion systems for industrial, marine, and defense applications.
  • C. SS Teutonic
    SS Teutonic was a late 19th-century British ocean liner notable for being one of the first modern steamships built for both passenger service and potential auxiliary naval use.
  • D. SS Dresden
    SS Dresden was a German passenger steamer best known as the ship from which engineer Rudolf Diesel mysteriously disappeared in 1913.
  • E. AG Weser
    AG Weser was a major German shipbuilding company based in Bremen, known for constructing warships and commercial vessels for the Imperial German Navy and later German fleets.
  • 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_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_69de84c925088190922b9979cf77d01b completed April 14, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:17 p.m.