Triple
T22160014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ai Apaec |
E547640
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Ai-Apaec |
—
|
NE NERFINISHED |
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: Ai-Apaec | Statement: [Ai Apaec, alsoKnownAs, Ai-Apaec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ai-Apaec Context triple: [Ai Apaec, alsoKnownAs, Ai-Apaec]
-
A.
Ai Apaec
chosen
Ai Apaec is the principal fanged deity of the Moche civilization, often depicted as a fearsome creator and warrior god associated with sacrifice and protection.
-
B.
AIPo
AIPo is the Italian interregional agency responsible for managing and safeguarding the Po River and its basin.
-
C.
Aapep
Aapep is an alternate name for Apep, the ancient Egyptian serpent deity embodying chaos and the eternal enemy of the sun god Ra.
-
D.
Apiro
Apiro is a small historic town in Italy’s Marche region, known for its medieval architecture and scenic Apennine surroundings.
-
E.
ACIA
ACIA is a key ASEAN agreement designed to liberalize, protect, and promote investment among member states to foster regional economic integration.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a2c17a4819082fb9e4aaa275462 |
completed | April 28, 2026, 9:44 p.m. |
Created at: April 16, 2026, 8:33 p.m.