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.