Triple
T13007201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airnorth |
E322318
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | TOPEND |
E60396
|
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: TOPEND | Statement: [Airnorth, callsign, TOPEND]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TOPEND Context triple: [Airnorth, callsign, TOPEND]
-
A.
Top 10
Top 10 is a comic book series by Alan Moore that follows the lives of superpowered police officers working in a city where nearly everyone has extraordinary abilities.
-
B.
TOP
TOP is the IATA airport code for Philip Billard Municipal Airport serving Topeka, Kansas, in the United States.
-
C.
Top End
chosen
The Top End is the tropical northernmost region of Australia's Northern Territory, known for its monsoonal climate, wetlands, and proximity to the city of Darwin.
-
D.
TOP 09
TOP 09 is a Czech centre-right political party known for its pro-European stance and advocacy of fiscal responsibility and liberal-conservative policies.
-
E.
Toplin
Toplin is a darkly surreal horror novel by Michael McDowell that follows the disturbed inner life of an unreliable narrator descending into madness.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9b27ec8190815c40a05b9ba7d0 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c109e59481909fc46b152034c6a9 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:48 p.m.