Triple
T31077759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | vicus Pallacinae |
E792012
|
entity |
| Predicate | situatedInRelationTo |
P17188
|
FINISHED |
| Object | central hills of 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 hills of Rome | Statement: [vicus Pallacinae, situatedInRelationTo, central hills of Rome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: situatedInRelationTo Context triple: [vicus Pallacinae, situatedInRelationTo, central hills of Rome]
-
A.
meetsInRelationTo
Indicates that two or more entities come together or interact within the context of a specified relationship or circumstance.
-
B.
standsInRelationTo
Indicates that one entity is connected to another by some specified relationship, without constraining the nature or direction of that relationship.
-
C.
occursInRelationTo
Indicates that an event, process, or state takes place in the context of, or with reference to, another specified entity or relationship.
-
D.
angleRelation
Indicates a relationship specifying how two or more angles are related to each other, such as being equal, complementary, supplementary, or otherwise geometrically constrained.
-
E.
spatialRelation
chosen
Indicates a spatial relationship between entities, specifying how one is positioned or located relative to another in space.
- 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_69f224ccdbbc81909b0cdb4cc2d70c7a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695bbbaa081909fb1aa003e864c08 |
completed | May 3, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69f690f13d7481908ddfefe95df2a1c2 |
completed | May 3, 2026, 12:04 a.m. |
Created at: April 29, 2026, 9:02 p.m.