Triple
T17284666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sky Airline Perú |
E419620
|
entity |
| Predicate | IcaoCode |
P419
|
FINISHED |
| Object | HLP |
E419620
|
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: HLP | Statement: [Sky Airline Perú, IcaoCode, HLP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HLP Context triple: [Sky Airline Perú, IcaoCode, HLP]
-
A.
HLP
chosen
HLP is the ICAO airline designator assigned to Sky Airline Perú, a Peruvian low-cost carrier.
-
B.
HLC
HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
-
C.
HLC
HLC is the three-letter National Rail station code for Helensburgh Central railway station in Scotland.
-
D.
HLCP
HLCP is a senior-level United Nations coordination body that brings together executive leaders to align and strategize system-wide policies and programmes.
-
E.
HLU
HLU is the National Rail station code for Helensburgh Upper railway station in Argyll and Bute, Scotland.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e4332bd324819080795152293d6d43 |
completed | April 19, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a017955448481909c2464a14c2a9799 |
completed | May 11, 2026, 6:38 a.m. |
Created at: April 10, 2026, 5:40 a.m.