Triple
T25447632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ukunda |
E637680
|
entity |
| Predicate | airstripIATAcode |
P17503
|
FINISHED |
| Object |
UKA
UKA is the IATA airport code for Ukunda Airstrip, a small airport serving the Diani Beach area on Kenya’s south coast.
|
E1681174
|
NE FINISHED |
How this triple was built (3 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: UKA | Statement: [Ukunda, airstripIATAcode, UKA]
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: UKA Triple: [Ukunda, airstripIATAcode, UKA]
Generated description
UKA is the IATA airport code for Ukunda Airstrip, a small airport serving the Diani Beach area on Kenya’s south coast.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airstripIATAcode Context triple: [Ukunda, airstripIATAcode, UKA]
-
A.
airfieldCode
Indicates that an entity is identified by a specific airfield code used to uniquely reference that airfield.
-
B.
airportIATAAssociated
chosen
Indicates that an airport is associated with a specific IATA (International Air Transport Association) code.
-
C.
ICAOcode
Indicates that an entity is identified by a specific four-letter airport or aerodrome code assigned by the International Civil Aviation Organization (ICAO).
-
D.
airportCodeFAA
Indicates that an airport is identified by a specific FAA (Federal Aviation Administration) airport code.
-
E.
airportCodeContext
Indicates that an airport code is being used or interpreted within a specific contextual framework (such as a region, system, or standard) that defines its meaning.
- F. None of above.
Provenance (6 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_69e75db7c5048190b8da9cd7eeedb610 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f70518e48190ae918ff33e342c82 |
completed | May 2, 2026, 1:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1089acb4dc81908ce390c5eeea878e |
completed | May 22, 2026, 4:51 p.m. |
| NEDg | Description generation | batch_6a108a66ebfc8190843d591e9ab47493 |
completed | May 22, 2026, 4:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a108b266a648190874a4e80f1df2bb8 |
completed | May 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69f4683b34748190818428489a226124 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 2:02 p.m.