Triple

T17381772
Position Surface form Disambiguated ID Type / Status
Subject Teesside International Airport E422585 entity
Predicate IATAcode P418 FINISHED
Object MME
MME is the IATA airport code for Teesside International Airport, serving the Teesside and County Durham region in northeast England.
E1266160 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: MME | Statement: [Teesside International Airport, IATAcode, MME]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MME
Context triple: [Teesside International Airport, IATAcode, MME]
  • A. Mobility Management Entity
    The Mobility Management Entity is a core LTE network component responsible for user mobility, session management, and signaling control between user devices and the network.
  • B. M2M
    M2M is a Norwegian pop duo best known for their late-1990s and early-2000s teen pop hits like "Don't Say You Love Me."
  • C. MMEP
    MMEP is the ICAO airport code for Tepic International Airport in Tepic, Nayarit, Mexico.
  • D. MMI
    MMI is an abbreviation for Muslim Mosque, Inc., a religious organization associated with the Muslim community.
  • E. IMT-MC
    IMT-MC is a CDMA-based third-generation (3G) mobile communication standard within the IMT-2000 family, designed to provide high-capacity voice and data services.
  • 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: MME
Triple: [Teesside International Airport, IATAcode, MME]
Generated description
MME is the IATA airport code for Teesside International Airport, serving the Teesside and County Durham region in northeast England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MME
Target entity description: MME is the IATA airport code for Teesside International Airport, serving the Teesside and County Durham region in northeast England.
  • A. Mobility Management Entity
    The Mobility Management Entity is a core LTE network component responsible for user mobility, session management, and signaling control between user devices and the network.
  • B. M2M
    M2M is a Norwegian pop duo best known for their late-1990s and early-2000s teen pop hits like "Don't Say You Love Me."
  • C. MMEP
    MMEP is the ICAO airport code for Tepic International Airport in Tepic, Nayarit, Mexico.
  • D. MMI
    MMI is an abbreviation for Muslim Mosque, Inc., a religious organization associated with the Muslim community.
  • E. IMT-MC
    IMT-MC is a CDMA-based third-generation (3G) mobile communication standard within the IMT-2000 family, designed to provide high-capacity voice and data services.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a860f588190915e0671f44bfbcc completed April 19, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019ff527a48190bc067819a26661eb completed May 11, 2026, 9:23 a.m.
NEDg Description generation batch_6a01a0d55d688190ad278f7189711773 completed May 11, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_6a01a1b4b2888190bcd8c008567c9c1e completed May 11, 2026, 9:30 a.m.
Created at: April 10, 2026, 5:45 a.m.