Triple
T8740345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naqa |
E207483
|
entity |
| Predicate | hasDeity |
P5606
|
FINISHED |
| Object | Kons |
E500380
|
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: Kons | Statement: [Naqa, hasDeity, Kons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kons Context triple: [Naqa, hasDeity, Kons]
-
A.
Konz
Konz is a town in western Germany near Trier, known for its location where the Saar River meets the Moselle.
-
B.
Kon
chosen
Kon is a deity from Andean mythology often associated with rain, wind, and the fertilizing forces that sustain life in the region.
-
C.
Kom
Kom is an ethnic group and kingdom in northwestern Cameroon known for its rich cultural traditions, language, and chieftaincy system.
-
D.
Koni
Koni is a diminutive form of the given name Konrad, typically used as an affectionate nickname.
-
E.
Kors
Kors is the surname of American fashion designer Michael Kors, known for his eponymous luxury brand.
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d4a0cf481909c770cb39fd00fcd |
completed | March 31, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf42e7176c819097e313ed8e8ceb06 |
completed | April 3, 2026, 4:32 a.m. |
Created at: March 30, 2026, 6:38 p.m.