Triple
T13374869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief of the Kenya Defence Forces |
E319157
|
entity |
| Predicate | nativeLabel |
P657
|
FINISHED |
| Object |
CDFS
CDFS is the abbreviated title used to refer to the Chief of the Kenya Defence Forces, the highest-ranking military officer in Kenya.
|
E1036555
|
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: CDFS | Statement: [Chief of the Kenya Defence Forces, nativeLabel, CDFS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CDFS Context triple: [Chief of the Kenya Defence Forces, nativeLabel, CDFS]
-
A.
CSDC
CSDC is a research center based at McGill University that focuses on the study and advancement of democratic citizenship and political participation.
-
B.
CPCFA
CPCFA is the abbreviation for the California Pollution Control Financing Authority, a state agency that provides tax-exempt financing and other support for environmentally beneficial projects in California.
-
C.
HDF
HDF is the acronym for the Hungarian Defence Forces, the unified military organization responsible for Hungary’s national defense and participation in international security operations.
-
D.
CFE
CFE is the IATA airport code for Clermont-Ferrand Auvergne Airport in central France.
-
E.
DFCO
DFCO is the commonly used abbreviation for Dijon FCO, a French professional football club based in Dijon.
- 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: CDFS Triple: [Chief of the Kenya Defence Forces, nativeLabel, CDFS]
Generated description
CDFS is the abbreviated title used to refer to the Chief of the Kenya Defence Forces, the highest-ranking military officer in Kenya.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CDFS Target entity description: CDFS is the abbreviated title used to refer to the Chief of the Kenya Defence Forces, the highest-ranking military officer in Kenya.
-
A.
CSDC
CSDC is a research center based at McGill University that focuses on the study and advancement of democratic citizenship and political participation.
-
B.
CPCFA
CPCFA is the abbreviation for the California Pollution Control Financing Authority, a state agency that provides tax-exempt financing and other support for environmentally beneficial projects in California.
-
C.
HDF
HDF is the acronym for the Hungarian Defence Forces, the unified military organization responsible for Hungary’s national defense and participation in international security operations.
-
D.
CFE
CFE is the IATA airport code for Clermont-Ferrand Auvergne Airport in central France.
-
E.
DFCO
DFCO is the commonly used abbreviation for Dijon FCO, a French professional football club based in Dijon.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcda64a48190b53243a763cd175b |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72684f3408190952d2619b6b8d241 |
completed | May 3, 2026, 10:42 a.m. |
| NEDg | Description generation | batch_69f726f3f9cc8190a10f6a355a27b0fa |
completed | May 3, 2026, 10:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7276b0f148190a0a6ec1b6637b6aa |
completed | May 3, 2026, 10:46 a.m. |
Created at: April 9, 2026, 9:33 p.m.