Triple
T14817905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pico Airport |
E348366
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
PIX
PIX is the IATA airport code for Pico Airport, which serves Pico Island in Portugal’s Azores archipelago.
|
E1122565
|
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: PIX | Statement: [Pico Airport, IATAcode, PIX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PIX Context triple: [Pico Airport, IATAcode, PIX]
-
A.
PIX
PIX (Patient Identifier Cross-referencing) is an IHE IT Infrastructure profile that enables the cross-referencing and sharing of patient identifiers across multiple clinical information systems and institutions.
-
B.
Pixels
Pixels is a 2015 science fiction comedy film in which classic video game characters attack Earth, prompting former arcade champions to defend the planet.
-
C.
Pixel
Pixel is Google's flagship line of Android smartphones known for their clean software experience and advanced camera capabilities.
-
D.
PX
PX is a retail store on U.S. military installations that sells discounted goods and services to service members, their families, and other authorized patrons.
-
E.
PIK
PIK is a leading German research institute focused on analyzing the causes and impacts of climate change and developing strategies for sustainable solutions.
- 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: PIX Triple: [Pico Airport, IATAcode, PIX]
Generated description
PIX is the IATA airport code for Pico Airport, which serves Pico Island in Portugal’s Azores archipelago.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PIX Target entity description: PIX is the IATA airport code for Pico Airport, which serves Pico Island in Portugal’s Azores archipelago.
-
A.
PIX
PIX (Patient Identifier Cross-referencing) is an IHE IT Infrastructure profile that enables the cross-referencing and sharing of patient identifiers across multiple clinical information systems and institutions.
-
B.
Pixels
Pixels is a 2015 science fiction comedy film in which classic video game characters attack Earth, prompting former arcade champions to defend the planet.
-
C.
Pixel
Pixel is Google's flagship line of Android smartphones known for their clean software experience and advanced camera capabilities.
-
D.
PX
PX is a retail store on U.S. military installations that sells discounted goods and services to service members, their families, and other authorized patrons.
-
E.
PIK
PIK is a leading German research institute focused on analyzing the causes and impacts of climate change and developing strategies for sustainable solutions.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe2c1ec81908b3dff7a5d0e85d0 |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe3897691c819085ef89480e730723 |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe5178e8b481909c88ee7db29f037c |
completed | May 8, 2026, 9:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe5217512c8190b0cea476f4b95007 |
completed | May 8, 2026, 9:13 p.m. |
Created at: April 10, 2026, 1:50 a.m.