Triple
T15020667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrance B. Lettsome International Airport |
E378074
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
EIS
EIS is the three-letter IATA airport code for Terrance B. Lettsome International Airport serving the British Virgin Islands.
|
E1132918
|
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: EIS | Statement: [Terrance B. Lettsome International Airport, IATAcode, EIS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EIS Context triple: [Terrance B. Lettsome International Airport, IATAcode, EIS]
-
A.
EIS
EIS is a U.S. Centers for Disease Control and Prevention (CDC) training and service program that develops disease detectives who investigate and respond to public health threats and outbreaks.
-
B.
EIS
EIS is a comprehensive document required by environmental regulations that evaluates the potential environmental effects of proposed projects or actions before decisions are made.
-
C.
EIS
EIS is a German vehicle registration code assigned to the Saale-Holzland district in the state of Thuringia.
-
D.
EIS
EIS is the central criminal information database operated by Europol to support law enforcement cooperation and intelligence sharing among EU member states.
-
E.
EEIS
EEIS is an academic department focused on education and research in electrical engineering and information systems.
- 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: EIS Triple: [Terrance B. Lettsome International Airport, IATAcode, EIS]
Generated description
EIS is the three-letter IATA airport code for Terrance B. Lettsome International Airport serving the British Virgin Islands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EIS Target entity description: EIS is the three-letter IATA airport code for Terrance B. Lettsome International Airport serving the British Virgin Islands.
-
A.
EIS
EIS is a U.S. Centers for Disease Control and Prevention (CDC) training and service program that develops disease detectives who investigate and respond to public health threats and outbreaks.
-
B.
EIS
EIS is a comprehensive document required by environmental regulations that evaluates the potential environmental effects of proposed projects or actions before decisions are made.
-
C.
EIS
EIS is a German vehicle registration code assigned to the Saale-Holzland district in the state of Thuringia.
-
D.
EIS
EIS is the central criminal information database operated by Europol to support law enforcement cooperation and intelligence sharing among EU member states.
-
E.
EEIS
EEIS is an academic department focused on education and research in electrical engineering and information systems.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded765462c819097f331c9b39c80e3 |
completed | April 15, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd078e481908ec78db57541fc4c |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fe9f3afcc08190bd9eac0b2619bf0a |
completed | May 9, 2026, 2:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9fa89bd481909235d2ec377a0d8e |
completed | May 9, 2026, 2:44 a.m. |
Created at: April 10, 2026, 2:56 a.m.