Triple
T13211521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myrties |
E314504
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Telendos |
E314499
|
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: Telendos | Statement: [Myrties, hasViewOf, Telendos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Telendos Context triple: [Myrties, hasViewOf, Telendos]
-
A.
Telendos
chosen
Telendos is a small, tranquil Greek island in the Dodecanese known for its rugged cliffs, quiet beaches, and appeal to climbers and hikers.
-
B.
Telos
Telos is an icy, subterranean planet in the Doctor Who universe best known as a major stronghold and tomb world of the Cybermen.
-
C.
Telaria
Telaria was a video advertising and monetization technology company specializing in connected TV and premium video inventory.
-
D.
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."
-
E.
Tlos
Tlos is an ancient Lycian hilltop city in southwestern Turkey, known for its rock-cut tombs, acropolis, and extensive archaeological remains overlooking the Xanthos Valley.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9f0f148190a0698ef27573c885 |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f6136270819093256a143d2c9e65 |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:17 p.m.