Triple
T19070769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daphni Monastery |
E466784
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Daphni |
—
|
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: Daphni | Statement: [Daphni Monastery, locatedIn, Daphni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daphni Context triple: [Daphni Monastery, locatedIn, Daphni]
-
A.
Daphni
chosen
Daphni is an area near Athens in Greece known for its historic monastery and its location along the ancient route between Athens and Eleusis.
-
B.
Espheni
The Espheni are a technologically advanced alien race that invades and occupies Earth as the primary antagonists in the science fiction television series "Falling Skies."
-
C.
Elys
Elys is a variant form of the given name Ellis, used as an alternative spelling or stylistic variation.
-
D.
Parerga
Parerga is a collection of supplementary philosophical essays by Arthur Schopenhauer, included as part of his larger work "Parerga and Paralipomena."
-
E.
Torriana
Torriana is a small Italian town in the Emilia-Romagna region, known for its medieval fortress and scenic position overlooking the Marecchia Valley.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e19ea01c8190b9bb789da32f9a90 |
completed | April 20, 2026, 8:19 a.m. |
Created at: April 10, 2026, 12:04 p.m.