Triple
T17381730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jersey Airport |
E422584
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
EGJJ
EGJJ is the ICAO airport code for Jersey Airport, the primary international airport serving the Channel Island of Jersey.
|
E1266159
|
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: EGJJ | Statement: [Jersey Airport, ICAOcode, EGJJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EGJJ Context triple: [Jersey Airport, ICAOcode, EGJJ]
-
A.
EGKK
EGKK is the ICAO airport code for London Gatwick Airport, a major international airport serving the London metropolitan area in the United Kingdom.
-
B.
GG
GG is the standard abbreviation for Germany’s constitution, the Basic Law for the Federal Republic of Germany.
-
C.
GG
GG was the original designation for New York City's G subway service, a crosstown line that runs through Brooklyn and Queens without entering Manhattan.
-
D.
EGHH
EGHH is the ICAO airport code for Bournemouth Airport, a regional international airport serving Bournemouth and the surrounding area in southern England.
-
E.
EG
EG is the ISO 3166-1 alpha-2 country code for Egypt, a transcontinental nation in North Africa and the Middle East known for its ancient civilization and monuments like the Pyramids of Giza.
- 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: EGJJ Triple: [Jersey Airport, ICAOcode, EGJJ]
Generated description
EGJJ is the ICAO airport code for Jersey Airport, the primary international airport serving the Channel Island of Jersey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EGJJ Target entity description: EGJJ is the ICAO airport code for Jersey Airport, the primary international airport serving the Channel Island of Jersey.
-
A.
EGKK
EGKK is the ICAO airport code for London Gatwick Airport, a major international airport serving the London metropolitan area in the United Kingdom.
-
B.
GG
GG is the standard abbreviation for Germany’s constitution, the Basic Law for the Federal Republic of Germany.
-
C.
GG
GG was the original designation for New York City's G subway service, a crosstown line that runs through Brooklyn and Queens without entering Manhattan.
-
D.
EGHH
EGHH is the ICAO airport code for Bournemouth Airport, a regional international airport serving Bournemouth and the surrounding area in southern England.
-
E.
EG
EG is the ISO 3166-1 alpha-2 country code for Egypt, a transcontinental nation in North Africa and the Middle East known for its ancient civilization and monuments like the Pyramids of Giza.
- 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.