Triple
T1617836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyndall Air Force Base |
E34759
|
entity |
| Predicate | hasICAOCode |
P419
|
FINISHED |
| Object |
KPAM
KPAM is the ICAO airport code for Tyndall Air Force Base, a United States Air Force installation near Panama City, Florida.
|
E183149
|
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: KPAM | Statement: [Tyndall Air Force Base, hasICAOCode, KPAM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KPAM Context triple: [Tyndall Air Force Base, hasICAOCode, KPAM]
-
A.
KP
KP is the commonly used abbreviation for Khyber Pakhtunkhwa, a province in northwestern Pakistan known for its mountainous terrain and diverse ethnic communities.
-
B.
KAP
KAP is the ICAO airline designator used to identify Cape Air in international aviation operations.
-
C.
KNPA
KNPA is the ICAO airport code for Naval Air Station Pensacola, a major U.S. Navy aviation training base in Florida.
-
D.
PK
PK is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Pakistan in international standards and systems.
-
E.
KA
KA is the vehicle registration code used on license plates for cars registered in the German city of Karlsruhe.
- 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: KPAM Triple: [Tyndall Air Force Base, hasICAOCode, KPAM]
Generated description
KPAM is the ICAO airport code for Tyndall Air Force Base, a United States Air Force installation near Panama City, Florida.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KPAM Target entity description: KPAM is the ICAO airport code for Tyndall Air Force Base, a United States Air Force installation near Panama City, Florida.
-
A.
KP
KP is the commonly used abbreviation for Khyber Pakhtunkhwa, a province in northwestern Pakistan known for its mountainous terrain and diverse ethnic communities.
-
B.
KAP
KAP is the ICAO airline designator used to identify Cape Air in international aviation operations.
-
C.
KNPA
KNPA is the ICAO airport code for Naval Air Station Pensacola, a major U.S. Navy aviation training base in Florida.
-
D.
PK
PK is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Pakistan in international standards and systems.
-
E.
KA
KA is the vehicle registration code used on license plates for cars registered in the German city of Karlsruhe.
- 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a909addb348190a80a97422efcaa63 |
completed | March 5, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51cf7b7c8190847ab6795fb5613b |
completed | March 8, 2026, 10:39 a.m. |
| NEDg | Description generation | batch_69ad52dee83c819080b58e67dcd7bb2b |
completed | March 8, 2026, 10:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad534ab0d88190acaa8a5e66fcb0d6 |
completed | March 8, 2026, 10:45 a.m. |
Created at: March 4, 2026, 7:28 p.m.