Triple
T22660738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ermioni |
E559653
|
entity |
| Predicate | nearby |
P350
|
FINISHED |
| Object | Poros |
—
|
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: Poros | Statement: [Ermioni, nearby, Poros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poros Context triple: [Ermioni, nearby, Poros]
-
A.
Poros
chosen
Poros is a small Greek island in the Saronic Gulf known for its pine-covered hills, neoclassical town, and popularity as a nearby getaway from Athens.
-
B.
Poros
Poros is a river in J.R.R. Tolkien's Middle-earth that flows through Gondor and serves as a significant southern boundary.
-
C.
Kossil
Kossil is a high-ranking priestess and antagonist in Ursula K. Le Guin’s Earthsea novel "The Tombs of Atuan," known for her cruelty, jealousy, and opposition to the protagonist Tenar.
-
D.
Archeon
Archeon is an open-air archaeological and historical theme park in the Netherlands that recreates life in prehistoric, Roman, and medieval times.
-
E.
Atheras
Atheras is a mountainous region on the Greek island of Ikaria, known for its rugged terrain and scenic landscapes.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765edf88819086c28525e3c73758 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:07 p.m.