Triple

T20899034
Position Surface form Disambiguated ID Type / Status
Subject F1–F22 E514618 entity
Predicate hasGate P4365 FINISHED
Object Gate F13
Gate F13 is a numbered passenger boarding gate located within the F1–F22 concourse area of an airport terminal.
 E1460218 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: Gate F13 | Statement: [F1–F22, hasGate, Gate F13]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gate F13
Context triple: [F1–F22, hasGate, Gate F13]
  • A. Gate F11
    Gate F11 is a numbered passenger boarding gate located within the F1–F22 section of an airport terminal.
  • B. Gate F12
    Gate F12 is a designated passenger boarding and departure gate within the F1–F22 concourse area of an airport terminal.
  • C. Gate F3
    Gate F3 is a designated passenger boarding and departure gate located within the F1–F22 concourse area of an airport terminal.
  • D. Gate F10
    Gate F10 is a designated passenger boarding and departure gate located within the F1–F22 concourse area of an airport terminal.
  • E. Gate F7
    Gate F7 is a designated passenger boarding and departure gate located within the F1–F22 concourse area of an airport terminal.
  • 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: Gate F13
Triple: [F1–F22, hasGate, Gate F13]
Generated description
Gate F13 is a numbered passenger boarding gate located within the F1–F22 concourse area of an airport terminal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gate F13
Target entity description: Gate F13 is a numbered passenger boarding gate located within the F1–F22 concourse area of an airport terminal.
  • A. Gate F11
    Gate F11 is a numbered passenger boarding gate located within the F1–F22 section of an airport terminal.
  • B. Gate F12
    Gate F12 is a designated passenger boarding and departure gate within the F1–F22 concourse area of an airport terminal.
  • C. Gate F3
    Gate F3 is a designated passenger boarding and departure gate located within the F1–F22 concourse area of an airport terminal.
  • D. Gate F10
    Gate F10 is a designated passenger boarding and departure gate located within the F1–F22 concourse area of an airport terminal.
  • E. Gate F7
    Gate F7 is a designated passenger boarding and departure gate located within the F1–F22 concourse area of an airport terminal.
  • 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_69e0b4f7ebe48190952a85547a0f31a1 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e8f92bd88190b59b2131ad1d9aa1 completed April 21, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a092fa770b48190b0ee529dcab1917d completed May 17, 2026, 3:01 a.m.
NEDg Description generation batch_6a0930f13618819086ae6ff00e293a5c completed May 17, 2026, 3:07 a.m.
NED2 Entity disambiguation (via description) batch_6a0931545b288190baf250d9796eca7d completed May 17, 2026, 3:09 a.m.
Created at: April 16, 2026, 12:47 p.m.