Triple
T31324469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valley of the Liris |
E798843
|
entity |
| Predicate | nearbyModernRegion |
P61270
|
FINISHED |
| Object | Lazio |
—
|
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: Lazio | Statement: [Valley of the Liris, nearbyModernRegion, Lazio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyModernRegion Context triple: [Valley of the Liris, nearbyModernRegion, Lazio]
-
A.
nearbySettlementRegion
Indicates that a settlement is located close to or within the surrounding area of a specified region.
-
B.
nearbyRegionCharacterizedBy
Indicates that a region located nearby another entity is defined or distinguished by a particular characteristic, feature, or condition.
-
C.
nearbyUrbanCenter
Indicates that one location is geographically close to an urban center, such as a city or large town.
-
D.
nearbyLocation
chosen
Indicates that one location is situated close to another location in physical space.
-
E.
nearbyState
Indicates that one state is geographically adjacent to or in close proximity to another state.
- 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_69f224e3238c8190b2291f50ea4962cd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
Created at: April 29, 2026, 9:15 p.m.