Triple
T15574553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Crosse Regional Airport |
E374334
|
entity |
| Predicate | FAAcode |
P420
|
FINISHED |
| Object | LSE |
E1165294
|
NE FINISHED |
How this triple was built (2 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: LSE | Statement: [La Crosse Regional Airport, FAAcode, LSE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LSE Context triple: [La Crosse Regional Airport, FAAcode, LSE]
-
A.
LSE
LSE refers to the London Stock Exchange, one of the world’s largest and most prominent securities exchanges based in London, United Kingdom.
-
B.
LSE
chosen
LSE is the IATA airport code for La Crosse Regional Airport, a commercial airport serving La Crosse, Wisconsin, and the surrounding region.
-
C.
London School of Economics
The London School of Economics is a prestigious London-based university renowned worldwide for its teaching and research in economics, politics, law, and the social sciences.
-
D.
LSE Court of Governors
The LSE Court of Governors is a senior governing body of the London School of Economics responsible for overseeing the institution’s strategic direction and overall governance.
-
E.
UCL IOE
UCL IOE is the education-focused faculty of University College London, renowned for its research and teaching in education and social science.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e2140388190a8df7b835eaa72ce |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56c231e0819083d6032eb21114b2 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:10 a.m.