Triple

T7213322
Position Surface form Disambiguated ID Type / Status
Subject Portsmouth International Airport at Pease E149463 entity
Predicate ICAOcode P419 FINISHED
Object KPSM
KPSM is the ICAO code for Portsmouth International Airport at Pease, a joint civil-military airport located in Portsmouth, New Hampshire, USA.
E649022 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: KPSM | Statement: [Portsmouth International Airport at Pease, ICAOcode, KPSM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KPSM
Context triple: [Portsmouth International Airport at Pease, ICAOcode, KPSM]
  • A. KSM
    KSM is the commonly used acronym for Khalid Sheikh Mohammed, the alleged principal architect of the September 11, 2001 terrorist attacks.
  • B. KSMF
    KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
  • C. KSMO
    KSMO is the ICAO airport code for Santa Monica Airport, a general aviation airport serving Santa Monica, California.
  • D. KPRM
    KPRM is the commonly used abbreviation for the Chancellery of the Prime Minister of Poland, the central office supporting the head of government.
  • E. KPAM
    KPAM is the ICAO airport code for Tyndall Air Force Base, a United States Air Force installation near Panama City, Florida.
  • 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: KPSM
Triple: [Portsmouth International Airport at Pease, ICAOcode, KPSM]
Generated description
KPSM is the ICAO code for Portsmouth International Airport at Pease, a joint civil-military airport located in Portsmouth, New Hampshire, USA.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KPSM
Target entity description: KPSM is the ICAO code for Portsmouth International Airport at Pease, a joint civil-military airport located in Portsmouth, New Hampshire, USA.
  • A. KSM
    KSM is the commonly used acronym for Khalid Sheikh Mohammed, the alleged principal architect of the September 11, 2001 terrorist attacks.
  • B. KSMF
    KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
  • C. KSMO
    KSMO is the ICAO airport code for Santa Monica Airport, a general aviation airport serving Santa Monica, California.
  • D. KPRM
    KPRM is the commonly used abbreviation for the Chancellery of the Prime Minister of Poland, the central office supporting the head of government.
  • E. KPAM
    KPAM is the ICAO airport code for Tyndall Air Force Base, a United States Air Force installation near Panama City, Florida.
  • 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_69c687eca814819095abb52316b1af80 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e98b61448190add3624a818fdc7b completed March 27, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bfcec3448190ab29c3742aa167ae completed March 28, 2026, 11:47 a.m.
NEDg Description generation batch_69c7c05a1f548190914a9b2ba98cbef2 completed March 28, 2026, 11:49 a.m.
NED2 Entity disambiguation (via description) batch_69c7c0e6b508819093092e3516a9ec46 completed March 28, 2026, 11:52 a.m.
Created at: March 27, 2026, 2:53 p.m.