Triple
T806838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loganair |
E17455
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | LOGAN |
E48660
|
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: LOGAN | Statement: [Loganair, callsign, LOGAN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LOGAN Context triple: [Loganair, callsign, LOGAN]
-
A.
Logan
Logan is a small city in southern West Virginia that serves as a local hub for the surrounding coal-mining region.
-
B.
Logan Express
chosen
Logan Express is a regional bus service that provides direct, scheduled transportation between suburban locations and Boston Logan International Airport.
-
C.
Alita: Battle Angel
Alita: Battle Angel is a 2019 cyberpunk action film, produced by James Cameron and directed by Robert Rodriguez, that adapts Yukito Kishiro’s manga about a powerful cyborg girl navigating a dystopian future.
-
D.
Hancock
Hancock is a small rural town in western Massachusetts known for its scenic Berkshire landscapes and outdoor recreation.
-
E.
Hancock
Hancock is a prominent surname most famously associated with John Hancock, a key figure of the American Revolution and first signer of the United States Declaration of Independence.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4aac1142881908f6f78bfdb887930 |
completed | March 1, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d83cf448190a2205cd777386833 |
completed | March 3, 2026, 11:23 p.m. |
Created at: March 1, 2026, 7:38 p.m.