Triple
T3873050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SDF |
E92431
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
KSDF
KSDF is the ICAO airport code for Louisville Muhammad Ali International Airport in Louisville, Kentucky, United States.
|
E396270
|
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: KSDF | Statement: [SDF, ICAOCode, KSDF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KSDF Context triple: [SDF, ICAOCode, KSDF]
-
A.
KS
KS is the standard two-letter postal abbreviation for the U.S. state of Kansas.
-
B.
DSF
DSF was a mass organization in East Germany dedicated to promoting political, cultural, and social ties between the German Democratic Republic and the Soviet Union.
-
C.
KSAF
KSAF is the ICAO airport code for Santa Fe Regional Airport, a public airport serving Santa Fe, New Mexico.
-
D.
SDF
SDF is the acronym for the SAARC Development Fund, a regional financial institution that supports social, economic, and infrastructure development projects among South Asian Association for Regional Cooperation member countries.
-
E.
SDF
The SDF (Syrian Democratic Forces) is a multi-ethnic, Kurdish-led military alliance in Syria that has been a primary ground force against ISIS and a key armed wing of the Autonomous Administration of North and East Syria.
- 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: KSDF Triple: [SDF, ICAOCode, KSDF]
Generated description
KSDF is the ICAO airport code for Louisville Muhammad Ali International Airport in Louisville, Kentucky, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KSDF Target entity description: KSDF is the ICAO airport code for Louisville Muhammad Ali International Airport in Louisville, Kentucky, United States.
-
A.
KS
KS is the standard two-letter postal abbreviation for the U.S. state of Kansas.
-
B.
DSF
DSF was a mass organization in East Germany dedicated to promoting political, cultural, and social ties between the German Democratic Republic and the Soviet Union.
-
C.
KSAF
KSAF is the ICAO airport code for Santa Fe Regional Airport, a public airport serving Santa Fe, New Mexico.
-
D.
SDF
SDF is the acronym for the SAARC Development Fund, a regional financial institution that supports social, economic, and infrastructure development projects among South Asian Association for Regional Cooperation member countries.
-
E.
SDF
The SDF (Syrian Democratic Forces) is a multi-ethnic, Kurdish-led military alliance in Syria that has been a primary ground force against ISIS and a key armed wing of the Autonomous Administration of North and East Syria.
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec581adc81909219e6f025fc97c2 |
completed | March 9, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51249f1ec8190a1f6cc191bc94421 |
completed | March 14, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69b51352e2ec8190a207a6af96baaa33 |
completed | March 14, 2026, 7:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b513e888008190892627805d2abd50 |
completed | March 14, 2026, 7:53 a.m. |
Created at: March 9, 2026, 3:20 p.m.