Triple

T29205751
Position Surface form Disambiguated ID Type / Status
Subject the Milano E740406 entity
Predicate hasHangarLocation P22186 FINISHED
Object Knowhere (various points in the MCU)
Knowhere is a remote, lawless outpost built inside the severed head of a Celestial, serving as a bustling hub for smugglers, miners, and travelers in the Marvel Cinematic Universe.
 E1856516 NE FINISHED

How this triple was built (3 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: Knowhere (various points in the MCU) | Statement: [the Milano, hasHangarLocation, Knowhere (various points in the MCU)]
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: Knowhere (various points in the MCU)
Triple: [the Milano, hasHangarLocation, Knowhere (various points in the MCU)]
Generated description
Knowhere is a remote, lawless outpost built inside the severed head of a Celestial, serving as a bustling hub for smugglers, miners, and travelers in the Marvel Cinematic Universe.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasHangarLocation
Context triple: [the Milano, hasHangarLocation, Knowhere (various points in the MCU)]
  • A. hasHangarCount
    Indicates the number of hangars associated with or contained by an entity.
  • B. hasHangars chosen
    Indicates that one entity possesses or contains hangars used for housing aircraft or similar vehicles.
  • C. hangarType
    Indicates the specific category or type of hangar associated with an entity.
  • D. hasBlueImpulseHangar
    Indicates that an entity possesses or is associated with a blue-colored hangar designated for impulse-related operations or storage.
  • E. hasHeliport
    Indicates that an entity possesses or is equipped with a heliport facility for helicopter landing and takeoff.
  • F. None of above.

Provenance (6 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_69f07cb974108190b7e86ca489a6ebb6 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f67f7efc3c8190986d2d95b7a23729 completed May 2, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2569c0bd408190b1d765adf9248210 completed June 7, 2026, 12:53 p.m.
NEDg Description generation batch_6a256de41c4481909176bfe24f1e4fe8 completed June 7, 2026, 1:11 p.m.
NED2 Entity disambiguation (via description) batch_6a25724ed7588190862ceef339305f35 completed June 7, 2026, 1:29 p.m.
PD Predicate disambiguation batch_69f67e40af9881908de3a4aa15f70a83 completed May 2, 2026, 10:44 p.m.
Created at: April 28, 2026, 12:09 p.m.