Triple
T12074134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esperance Airport |
E287501
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
YESP
YESP is the ICAO airport code for Esperance Airport in Western Australia.
|
E965988
|
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: YESP | Statement: [Esperance Airport, ICAOcode, YESP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: YESP Context triple: [Esperance Airport, ICAOcode, YESP]
-
A.
YEPP
YEPP is the youth wing of the European People’s Party, bringing together young center-right political organizations from across Europe.
-
B.
EYSA
EYSA is the ICAO airport code for Šiauliai Air Base, a military airfield in Lithuania.
-
C.
YPSL
YPSL is the youth wing historically associated with socialist and social-democratic movements in the United States, organizing and educating young people around left-wing politics.
-
D.
YSE
YSE is a graduate professional school at Yale University focused on environmental science, policy, and management.
-
E.
ESE
ESE is a highly competitive Indian national-level examination conducted by the Union Public Service Commission to recruit engineers for prestigious technical and managerial positions in various government departments and public sector organizations.
- 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: YESP Triple: [Esperance Airport, ICAOcode, YESP]
Generated description
YESP is the ICAO airport code for Esperance Airport in Western Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: YESP Target entity description: YESP is the ICAO airport code for Esperance Airport in Western Australia.
-
A.
YEPP
YEPP is the youth wing of the European People’s Party, bringing together young center-right political organizations from across Europe.
-
B.
EYSA
EYSA is the ICAO airport code for Šiauliai Air Base, a military airfield in Lithuania.
-
C.
YPSL
YPSL is the youth wing historically associated with socialist and social-democratic movements in the United States, organizing and educating young people around left-wing politics.
-
D.
YSE
YSE is a graduate professional school at Yale University focused on environmental science, policy, and management.
-
E.
ESE
ESE is a highly competitive Indian national-level examination conducted by the Union Public Service Commission to recruit engineers for prestigious technical and managerial positions in various government departments and public sector organizations.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9045bbc508190abf6e3316701e587 |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f65ed5908190a0082796366a8825 |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f600b51f488190a85a8f10f190b3c0 |
completed | May 2, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f601ef0a9c8190ac922562a8856def |
completed | May 2, 2026, 1:53 p.m. |
Created at: April 8, 2026, 9:48 p.m.