Triple
T23525625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Sebastián Airport |
E576423
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
EAS
EAS is the IATA airport code for San Sebastián Airport, which serves the city of San Sebastián in northern Spain.
|
E1591266
|
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: EAS | Statement: [San Sebastián Airport, IATAcode, EAS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EAS Context triple: [San Sebastián Airport, IATAcode, EAS]
-
A.
EAS
EAS is the abbreviation commonly used for the Division of Engineering and Applied Science at the California Institute of Technology, encompassing its engineering and applied science research and academic programs.
-
B.
EAS
EAS is a regional leaders’ forum in the Asia-Pacific that focuses on strategic, political, and economic issues to promote stability and cooperation.
-
C.
EAS
EAS is the commonly used abbreviation for Exchange ActiveSync, a Microsoft protocol that synchronizes email, contacts, calendar, and other data between mail servers and mobile devices.
-
D.
EAS
EAS is a component of the Solar Wind Analyser instrument suite designed to measure and characterize electrons in the solar wind environment.
-
E.
EAS
EAS is a geographic or administrative subdivision code element used within the PH-EAS regional coding system.
- 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: EAS Triple: [San Sebastián Airport, IATAcode, EAS]
Generated description
EAS is the IATA airport code for San Sebastián Airport, which serves the city of San Sebastián in northern Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EAS Target entity description: EAS is the IATA airport code for San Sebastián Airport, which serves the city of San Sebastián in northern Spain.
-
A.
EAS
EAS is the abbreviation commonly used for the Division of Engineering and Applied Science at the California Institute of Technology, encompassing its engineering and applied science research and academic programs.
-
B.
EAS
EAS is a regional leaders’ forum in the Asia-Pacific that focuses on strategic, political, and economic issues to promote stability and cooperation.
-
C.
EAS
EAS is the commonly used abbreviation for Exchange ActiveSync, a Microsoft protocol that synchronizes email, contacts, calendar, and other data between mail servers and mobile devices.
-
D.
EAS
EAS is a component of the Solar Wind Analyser instrument suite designed to measure and characterize electrons in the solar wind environment.
-
E.
EAS
EAS is a geographic or administrative subdivision code element used within the PH-EAS regional coding system.
- 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ac73be64819083e4a1c2c09551fb |
completed | April 29, 2026, 7 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0cdf51c4b88190bece408e0c4e06b5 |
completed | May 19, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_6a0ce22245488190acf1f8e40f23815c |
completed | May 19, 2026, 10:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ce27b51cc81908d1ffe2a76c23386 |
completed | May 19, 2026, 10:21 p.m. |
Created at: April 17, 2026, 6:09 p.m.