Triple
T30700608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gallicano |
E781598
|
entity |
| Predicate | sharesRiverValleyWith |
P120213
|
FINISHED |
| Object | Serchio River |
—
|
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: Serchio River | Statement: [Gallicano, sharesRiverValleyWith, Serchio River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesRiverValleyWith Context triple: [Gallicano, sharesRiverValleyWith, Serchio River]
-
A.
shareWaterway
chosen
Indicates that two or more entities are connected by and have access to the same navigable body of water, such as a river, canal, or sea route.
-
B.
connectsRiverValley
Indicates a relationship where something links or spans between a river and a valley, serving as a connection between the two.
-
C.
betweenRiver
Indicates a spatial relationship where something is located in the area separating two rivers or lies in the intermediate region defined by them.
-
D.
linkedToRiver
Indicates a relationship where something is physically or functionally connected to, associated with, or dependent on a river.
-
E.
hasRiverValley
Indicates that one location contains, includes, or is characterized by a river valley associated with another geographic feature or area.
- 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_69f224ab24e08190991d6edb6df58e8b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe831c97c88190b27ecf100e25c2a0 |
completed | May 9, 2026, 12:43 a.m. |
| PD | Predicate disambiguation | batch_69fe7f1b92648190b14e56bcaee5d0ca |
completed | May 9, 2026, 12:26 a.m. |
Created at: April 29, 2026, 8:34 p.m.