Triple
T20079297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eternal Word |
E499955
|
entity |
| Predicate | hasTheologicalBasisIn |
P2326
|
FINISHED |
| Object | Logos |
—
|
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: Logos | Statement: [Eternal Word, hasTheologicalBasisIn, Logos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Logos Context triple: [Eternal Word, hasTheologicalBasisIn, Logos]
-
A.
Logos
chosen
Logos is a central concept in Christian theology referring to the divine Word or reason of God, identified with Christ as the preexistent and incarnate Son.
-
B.
The Logo
The Logo is the famous nickname of NBA legend Jerry West, referencing his iconic silhouette used in the league’s official logo.
-
C.
Monogram
Monogram is a famous mixed-media artwork by Robert Rauschenberg featuring a taxidermied goat encircled by a tire, emblematic of his groundbreaking “combine” paintings that merge painting and sculpture.
-
D.
Loggos
Loggos is a small, picturesque coastal village on the Greek island of Paxos, known for its harbor, traditional tavernas, and relaxed atmosphere.
-
E.
Logoisk
Logoisk is a small historic town in Belarus known for its scenic hilly landscape, ski resort, and archaeological heritage.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6643f93208190ae2a413f88ea9aed |
completed | April 20, 2026, 5:37 p.m. |
Created at: April 11, 2026, 3:40 p.m.