Triple
T22879296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiber embankment |
E567414
|
entity |
| Predicate | riverKilometersCoveredApprox |
P56863
|
FINISHED |
| Object | central urban stretch of the Tiber in Rome |
—
|
LITERAL 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: central urban stretch of the Tiber in Rome | Statement: [Tiber embankment, riverKilometersCoveredApprox, central urban stretch of the Tiber in Rome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riverKilometersCoveredApprox Context triple: [Tiber embankment, riverKilometersCoveredApprox, central urban stretch of the Tiber in Rome]
-
A.
waterwayLengthKilometres
Indicates the total length of a waterway, measured in kilometres.
-
B.
riverLength
Indicates the measured extent of a river from its source to its mouth, typically expressed as a linear distance.
-
C.
riverKilometerContext
chosen
Indicates the position or context of something along a river, measured in river kilometers from a defined reference point.
-
D.
undergroundRiverLength
Indicates the measured linear extent of an underground river from its starting point to its endpoint.
-
E.
hasNumberOfRivers
Indicates the quantitative relationship specifying how many rivers are associated with a given entity.
- F. None of above.
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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f5b1ea481909a31a8ed6792ad04 |
completed | April 29, 2026, 3:47 a.m. |
| PD | Predicate disambiguation | batch_69ef3b6b2e2481908258156937b5a745 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:39 p.m.