Triple
T21309955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nestos River |
E525302
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Nestos |
E1087102
|
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: Nestos | Statement: [Nestos River, alternativeName, Nestos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nestos Context triple: [Nestos River, alternativeName, Nestos]
-
A.
Nestos
chosen
Nestos is a major river in northeastern Greece and southwestern Bulgaria, known for its scenic gorge, rich biodiversity, and role as a natural boundary in the region.
-
B.
Nest
Nest is a smart home technology company best known for its internet-connected thermostats, security cameras, and other home automation products.
-
C.
Nest
Nest is a young adult novel by Esther Ehrlich that follows a girl coping with her mother’s illness and family upheaval in 1970s Cape Cod.
-
D.
Nest
"Nest" is an episode of the stop-motion animated television series Moral Orel, known for its darkly satirical exploration of religious and suburban life.
-
E.
Nesta
Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75aaa56fc81909ba7649302528269 |
completed | April 21, 2026, 11:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a099ed7a6008190bb2c2033a8b2812a |
completed | May 17, 2026, 10:56 a.m. |
Created at: April 16, 2026, 4:06 p.m.