Triple
T34871937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiume adventure |
E1005773
|
entity |
| Predicate | cityFormerlyPartOf |
P5057
|
FINISHED |
| Object | Austria-Hungary |
—
|
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: Austria-Hungary | Statement: [Fiume adventure, cityFormerlyPartOf, Austria-Hungary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityFormerlyPartOf Context triple: [Fiume adventure, cityFormerlyPartOf, Austria-Hungary]
-
A.
formerMunicipalityOf
Indicates that an entity was previously an independent municipality that has since been merged into or replaced by the referenced municipality.
-
B.
cityPreviouslyLocatedIn
Indicates that a city was formerly situated within a specified location or administrative region, but is no longer located there.
-
C.
historicallyPartOf
chosen
Indicates that one entity was formerly a component, region, or subdivision of another entity during a past historical period, but is not necessarily part of it in the present.
-
D.
formerNameOfAreaWithin
Indicates that one area previously had a different name while remaining within the same larger encompassing area.
-
E.
hasAssociatedCityFormerName
Indicates that an entity is linked to a city by referencing one of that city's former or historical names.
- 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_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.