Triple
T29534217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alba |
E749290
|
entity |
| Predicate | hasSignificantLocation |
P177153
|
FINISHED |
| Object | hotel room 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: hotel room in Rome | Statement: [Alba, hasSignificantLocation, hotel room in Rome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignificantLocation Context triple: [Alba, hasSignificantLocation, hotel room in Rome]
-
A.
hasMajorLocation
Indicates that an entity is primarily situated in, based in, or most significantly associated with a particular location.
-
B.
hasProminentLocation
Indicates that an entity occupies a highly visible, central, or otherwise notable position within a given space or context.
-
C.
hasLocationRole
Indicates that an entity holds or plays a specific role in relation to a particular location (e.g., origin, destination, storage site, or operational area).
-
D.
hasImportantLocality
chosen
Indicates that something possesses or is associated with a locality (place or region) that is considered significant or particularly relevant in the given context.
-
E.
hasLocationComponent
Indicates that something includes, is associated with, or is composed of a specific location-related part or element.
- 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_69f0bd47abb081909bd6e6a33d770fd8 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: April 28, 2026, 4:56 p.m.