Triple
T12349351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawton–Fort Sill Regional Airport |
E294442
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
LAW
LAW is the IATA airport code for Lawton–Fort Sill Regional Airport in Lawton, Oklahoma, United States.
|
E977674
|
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: LAW | Statement: [Lawton–Fort Sill Regional Airport, IATAcode, LAW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LAW Context triple: [Lawton–Fort Sill Regional Airport, IATAcode, LAW]
-
A.
Law
Law is the system of rules and principles recognized by a community or government as regulating the actions of its members and enforceable by legal institutions.
-
B.
Law
Law is a common English-language surname borne by various notable individuals, including political figures such as former British Prime Minister Andrew Bonar Law.
-
C.
faculty of law
The faculty of law at Kharkiv National University of Internal Affairs is an academic division specializing in legal education and training for future law enforcement and legal professionals.
-
D.
Recht
Recht is a village and district within the municipality of Sankt Vith in the German-speaking region of eastern Belgium.
-
E.
Law family
The Law family is a British show-business family best known for including actor Jude Law and his model daughter Iris Law.
- 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: LAW Triple: [Lawton–Fort Sill Regional Airport, IATAcode, LAW]
Generated description
LAW is the IATA airport code for Lawton–Fort Sill Regional Airport in Lawton, Oklahoma, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LAW Target entity description: LAW is the IATA airport code for Lawton–Fort Sill Regional Airport in Lawton, Oklahoma, United States.
-
A.
Law
Law is the system of rules and principles recognized by a community or government as regulating the actions of its members and enforceable by legal institutions.
-
B.
Law
Law is a common English-language surname borne by various notable individuals, including political figures such as former British Prime Minister Andrew Bonar Law.
-
C.
faculty of law
The faculty of law at Kharkiv National University of Internal Affairs is an academic division specializing in legal education and training for future law enforcement and legal professionals.
-
D.
Recht
Recht is a village and district within the municipality of Sankt Vith in the German-speaking region of eastern Belgium.
-
E.
Law family
The Law family is a British show-business family best known for including actor Jude Law and his model daughter Iris Law.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7cbff08190849cd2aec4ce3243 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aae8d7c8190a722c28a5a153d1d |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62c569a6c8190aecf8a4c627d8893 |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d0c2568819083e66c8ae484d30d |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 8, 2026, 9:53 p.m.