Triple
T17787979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bidente River |
E444070
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Galeata |
—
|
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: Galeata | Statement: [Bidente River, flowsNear, Galeata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galeata Context triple: [Bidente River, flowsNear, Galeata]
-
A.
Galeata
chosen
Galeata is a small historic town in Italy’s Emilia-Romagna region, known for its Roman and medieval heritage in the Apennine foothills.
-
B.
Jahaz
Jahaz is an ancient Near Eastern town known from biblical and Moabite inscriptions as a key battle site in the conflicts between Israel and Moab.
-
C.
Amasra
Amasra is a historic coastal town and popular tourist destination on Turkey’s Black Sea coast, known for its scenic harbor, beaches, and ancient fortifications.
-
D.
Scaër
Scaër is a commune in the Finistère department of Brittany in northwestern France, known for its rural landscapes and location within the canton of Moëlan-sur-Mer.
-
E.
Arsacia
Arsacia is an alternative name historically used for the city of Rayy (near modern-day Tehran) in ancient Persia.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48794542c8190b049bce6e28c9f3a |
completed | April 19, 2026, 7:43 a.m. |
Created at: April 10, 2026, 10:12 a.m.