Triple
T17078345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koch Disruptive Technologies |
E414406
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
KDT
KDT is the venture capital and growth equity investment arm of Koch Industries that backs high-impact, disruptive technology companies across various sectors.
|
E1249615
|
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: KDT | Statement: [Koch Disruptive Technologies, alternativeName, KDT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KDT Context triple: [Koch Disruptive Technologies, alternativeName, KDT]
-
A.
KDTK
KDTK is the station code for Kadugodi Tree Park metro station on the Namma Metro network in Bengaluru, India.
-
B.
KDTN
KDTN is the ICAO airport code for Shreveport Downtown Airport, a general aviation facility serving Shreveport, Louisiana.
-
C.
Kalga
Kalga is a small, scenic Himalayan village in India’s Himachal Pradesh, popular with trekkers and backpackers for its tranquil atmosphere and mountain views.
-
D.
KDH
KDH is a Slovak Christian democratic political party known for its center-right, pro-European, and socially conservative positions.
-
E.
KDH
KDH is the IATA airport code for Kandahar International Airport, a major airport serving the city of Kandahar in southern Afghanistan.
- 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: KDT Triple: [Koch Disruptive Technologies, alternativeName, KDT]
Generated description
KDT is the venture capital and growth equity investment arm of Koch Industries that backs high-impact, disruptive technology companies across various sectors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KDT Target entity description: KDT is the venture capital and growth equity investment arm of Koch Industries that backs high-impact, disruptive technology companies across various sectors.
-
A.
KDTK
KDTK is the station code for Kadugodi Tree Park metro station on the Namma Metro network in Bengaluru, India.
-
B.
KDTN
KDTN is the ICAO airport code for Shreveport Downtown Airport, a general aviation facility serving Shreveport, Louisiana.
-
C.
Kalga
Kalga is a small, scenic Himalayan village in India’s Himachal Pradesh, popular with trekkers and backpackers for its tranquil atmosphere and mountain views.
-
D.
KDH
KDH is a Slovak Christian democratic political party known for its center-right, pro-European, and socially conservative positions.
-
E.
KDH
KDH is the IATA airport code for Kandahar International Airport, a major airport serving the city of Kandahar in southern Afghanistan.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe0e9cc8190b6c4b6065b474d1d |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ee243c081909aa6d470e002222a |
completed | May 11, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a013055b5148190aa5f6a007cb728ac |
completed | May 11, 2026, 1:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0130c2ad9881909d8a8b64ebb59aa6 |
completed | May 11, 2026, 1:28 a.m. |
Created at: April 10, 2026, 5:34 a.m.