Triple
T806837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loganair |
E17455
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
LOG
LOG is the ICAO airline designator assigned to Loganair, a regional airline based in Scotland.
|
E96771
|
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: LOG | Statement: [Loganair, ICAOcode, LOG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LOG Context triple: [Loganair, ICAOcode, LOG]
-
A.
DL
DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
-
B.
LOM
LOM is the official abbreviation for the Legion of Merit, a prestigious United States military decoration awarded for exceptionally meritorious conduct in the performance of outstanding services and achievements.
-
C.
LI
LI is the Roman numeral representing the number 51.
-
D.
SO
SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
-
E.
SO
SO is the New York Stock Exchange ticker symbol for Southern Company, a major U.S. electric and gas utility holding company based in the Southeast.
- 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: LOG Triple: [Loganair, ICAOcode, LOG]
Generated description
LOG is the ICAO airline designator assigned to Loganair, a regional airline based in Scotland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LOG Target entity description: LOG is the ICAO airline designator assigned to Loganair, a regional airline based in Scotland.
-
A.
DL
DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
-
B.
LOM
LOM is the official abbreviation for the Legion of Merit, a prestigious United States military decoration awarded for exceptionally meritorious conduct in the performance of outstanding services and achievements.
-
C.
LI
LI is the Roman numeral representing the number 51.
-
D.
SO
SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
-
E.
SO
SO is the New York Stock Exchange ticker symbol for Southern Company, a major U.S. electric and gas utility holding company based in the Southeast.
- 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_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. |
| NEDg | Description generation | batch_69a77fca11a88190ac74840fc6678cc4 |
completed | March 4, 2026, 12:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7805555388190a22fa3000eb2a717 |
completed | March 4, 2026, 12:44 a.m. |
Created at: March 1, 2026, 7:38 p.m.