Triple
T1644211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umbria |
E35541
|
entity |
| Predicate | containsRiver |
P165
|
FINISHED |
| Object | Nera |
E80175
|
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: Nera | Statement: [Umbria, containsRiver, Nera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nera Context triple: [Umbria, containsRiver, Nera]
-
A.
Nera
chosen
Nera is a river in central Italy that flows through the regions of Umbria and Lazio before joining the Tiber.
-
B.
Chersina
Chersina is a genus of tortoises in the family Testudinidae, best known for the South African species Chersina angulata, commonly called the angulate tortoise.
-
C.
Neraudia
Neraudia is a small genus of flowering plants in the hemp family Cannabaceae, native to Hawaii and known for its often rare and endemic shrub species.
-
D.
Ranna
Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
-
E.
Carybé
Carybé was a prominent Argentine-Brazilian painter, illustrator, and muralist known for his vivid depictions of Afro-Brazilian culture and the city of Salvador, Bahia.
- 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa622e9b08819094960b2329c6e7e6 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad60a26350819087e7a87b52561143 |
completed | March 8, 2026, 11:42 a.m. |
Created at: March 4, 2026, 7:28 p.m.