Triple
T22048174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ponciano Arriaga International Airport |
E544815
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
MMSP
MMSP is the ICAO airport code assigned to Ponciano Arriaga International Airport in San Luis Potosí, Mexico.
|
E1515316
|
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: MMSP | Statement: [Ponciano Arriaga International Airport, ICAOcode, MMSP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MMSP Context triple: [Ponciano Arriaga International Airport, ICAOcode, MMSP]
-
A.
MMQT
MMQT is the ICAO airport code for Querétaro International Airport in Querétaro, Mexico.
-
B.
MMSC
MMSC (Multimedia Messaging Service Center) is the network infrastructure component in mobile telecommunications responsible for storing, processing, and routing multimedia messages such as pictures, audio, and video.
-
C.
SMTP
SMTP (Simple Mail Transfer Protocol) is a standard communication protocol used for sending and routing email messages across IP networks.
-
D.
MMS
MMS is the Massachusetts Medical Society, a professional association representing physicians and medical students in Massachusetts and the publisher of the New England Journal of Medicine.
-
E.
MMS
MMS (Multimedia Messaging Service) is a mobile messaging standard that allows users to send multimedia content such as images, audio, and video between mobile devices.
- 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: MMSP Triple: [Ponciano Arriaga International Airport, ICAOcode, MMSP]
Generated description
MMSP is the ICAO airport code assigned to Ponciano Arriaga International Airport in San Luis Potosí, Mexico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MMSP Target entity description: MMSP is the ICAO airport code assigned to Ponciano Arriaga International Airport in San Luis Potosí, Mexico.
-
A.
MMQT
MMQT is the ICAO airport code for Querétaro International Airport in Querétaro, Mexico.
-
B.
MMSC
MMSC (Multimedia Messaging Service Center) is the network infrastructure component in mobile telecommunications responsible for storing, processing, and routing multimedia messages such as pictures, audio, and video.
-
C.
SMTP
SMTP (Simple Mail Transfer Protocol) is a standard communication protocol used for sending and routing email messages across IP networks.
-
D.
MMS
MMS is the Massachusetts Medical Society, a professional association representing physicians and medical students in Massachusetts and the publisher of the New England Journal of Medicine.
-
E.
MMS
MMS (Multimedia Messaging Service) is a mobile messaging standard that allows users to send multimedia content such as images, audio, and video between mobile devices.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12830c674819080254d77ee02bc9f |
completed | April 28, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7b7736708190bad46e7f44aeb18c |
completed | May 18, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_6a0a7c4736808190bd04e03adcb2d97b |
completed | May 18, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7d80f9c08190b18e04b9e9cf47a5 |
completed | May 18, 2026, 2:46 a.m. |
Created at: April 16, 2026, 8:26 p.m.