Triple
T6825011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyocera |
E156991
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | amoeba management |
E160440
|
NE FINISHED |
How this triple was built (2 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: amoeba management | Statement: [Kyocera, knownFor, amoeba management]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: amoeba management Context triple: [Kyocera, knownFor, amoeba management]
-
A.
Amoeba Management
chosen
Amoeba Management is a decentralized business management system that divides organizations into small, self-supporting units to enhance accountability, transparency, and profitability.
-
B.
EAM
EAM was a major Greek resistance organization during World War II that fought against Axis occupation and played a key role in the country’s wartime and immediate postwar politics.
-
C.
EPMO
EPMO is the ICAO airport code for Warsaw Modlin Airport, a secondary international airport serving the Warsaw metropolitan area in Poland.
-
D.
AMO
AMO is the research and think-tank arm associated with Rem Koolhaas’s architecture firm OMA, focusing on interdisciplinary projects in architecture, culture, and politics.
-
E.
Apma
Apma is an Oceanic language spoken on Pentecost Island in Vanuatu.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d581ea5881908ba78c6bf1ce58ee |
completed | March 27, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723f12a148190adbb05782a2041b6 |
completed | March 28, 2026, 12:42 a.m. |
Created at: March 27, 2026, 2:18 p.m.