Triple
T16192554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Fahd Air Base |
E392977
|
entity |
| Predicate | hasIATACode |
P2569
|
FINISHED |
| Object |
DHA
DHA is the IATA airport code for King Fahd Air Base in Saudi Arabia.
|
E1198490
|
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: DHA | Statement: [King Fahd Air Base, hasIATACode, DHA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DHA Context triple: [King Fahd Air Base, hasIATACode, DHA]
-
A.
DHA
DHA is the U.S. Department of Defense agency responsible for managing and integrating healthcare services for military personnel, retirees, and their families worldwide.
-
B.
DHA
DHA is the vehicle registration code used on motor vehicles registered in Dhaka, the capital city of Bangladesh.
-
C.
DHA Phase IV
DHA Phase IV is a planned upscale residential and commercial neighborhood within the Defence Housing Authority (DHA) area of Karachi, Pakistan.
-
D.
DHA Phase VI
DHA Phase VI is an upscale residential and commercial neighborhood in Karachi, Pakistan, known for its planned infrastructure, modern amenities, and affluent community.
-
E.
DHA Phase II
DHA Phase II is a prominent residential and commercial neighborhood in Karachi, Pakistan, known for its planned infrastructure, upscale housing, and proximity to major city arteries.
- 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: DHA Triple: [King Fahd Air Base, hasIATACode, DHA]
Generated description
DHA is the IATA airport code for King Fahd Air Base in Saudi Arabia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DHA Target entity description: DHA is the IATA airport code for King Fahd Air Base in Saudi Arabia.
-
A.
DHA
DHA is the vehicle registration code used on motor vehicles registered in Dhaka, the capital city of Bangladesh.
-
B.
DHA
DHA is the U.S. Department of Defense agency responsible for managing and integrating healthcare services for military personnel, retirees, and their families worldwide.
-
C.
DHA Phase IV
DHA Phase IV is a planned upscale residential and commercial neighborhood within the Defence Housing Authority (DHA) area of Karachi, Pakistan.
-
D.
DHA Phase VI
DHA Phase VI is an upscale residential and commercial neighborhood in Karachi, Pakistan, known for its planned infrastructure, modern amenities, and affluent community.
-
E.
DHA Phase II
DHA Phase II is a prominent residential and commercial neighborhood in Karachi, Pakistan, known for its planned infrastructure, upscale housing, and proximity to major city arteries.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222d6975c8190a512a65d5b0021bb |
completed | April 17, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0bfd08819083afc4bea1b99aad |
completed | May 10, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_6a0001b815c481908ed6fcaea42ee9fc |
completed | May 10, 2026, 3:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0002106a5c8190b92d27f01178a321 |
completed | May 10, 2026, 3:57 a.m. |
Created at: April 10, 2026, 5:02 a.m.