Triple
T8943932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Oxford Airport |
E212971
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
EGTK
EGTK is the ICAO airport code for London Oxford Airport, a regional airport serving Oxford and the surrounding area in England.
|
E768214
|
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: EGTK | Statement: [London Oxford Airport, ICAOcode, EGTK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EGTK Context triple: [London Oxford Airport, ICAOcode, EGTK]
-
A.
ESGT
ESGT is the ICAO airport code for Trollhättan–Vänersborg Airport in Sweden.
-
B.
ETB
ETB is the three-letter international currency code used to represent the Ethiopian birr in global financial and foreign exchange contexts.
-
C.
ETUI
The ETUI is the research and training arm of the European Trade Union Confederation, focusing on workers’ rights, social policy, and labour-related research in Europe.
-
D.
e-TeX
e-TeX is an extended version of the TeX typesetting engine that adds enhanced programming features and capabilities while remaining largely compatible with standard TeX.
-
E.
EGIS
EGIS is the principal intelligence agency of Egypt, responsible for national security, foreign intelligence, and counterintelligence operations.
- 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: EGTK Triple: [London Oxford Airport, ICAOcode, EGTK]
Generated description
EGTK is the ICAO airport code for London Oxford Airport, a regional airport serving Oxford and the surrounding area in England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EGTK Target entity description: EGTK is the ICAO airport code for London Oxford Airport, a regional airport serving Oxford and the surrounding area in England.
-
A.
ESGT
ESGT is the ICAO airport code for Trollhättan–Vänersborg Airport in Sweden.
-
B.
ETB
ETB is the three-letter international currency code used to represent the Ethiopian birr in global financial and foreign exchange contexts.
-
C.
ETUI
The ETUI is the research and training arm of the European Trade Union Confederation, focusing on workers’ rights, social policy, and labour-related research in Europe.
-
D.
e-TeX
e-TeX is an extended version of the TeX typesetting engine that adds enhanced programming features and capabilities while remaining largely compatible with standard TeX.
-
E.
EGIS
EGIS is the principal intelligence agency of Egypt, responsible for national security, foreign intelligence, and counterintelligence operations.
- 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_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66da71808190b4454b2f95aae0bd |
completed | April 1, 2026, 12:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1f87db481909d40ed6fb0a4c8c9 |
completed | April 3, 2026, 1:34 p.m. |
| NEDg | Description generation | batch_69cfc4319ad881909223a61f2370a6f1 |
completed | April 3, 2026, 1:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfc4b019188190a49f11c51a6199ce |
completed | April 3, 2026, 1:46 p.m. |
Created at: March 30, 2026, 6:59 p.m.