Triple
T585313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turin |
E15144
|
entity |
| Predicate | capitalOfItalyFrom |
P15844
|
FINISHED |
| Object | 1861 |
—
|
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: 1861 | Statement: [Turin, capitalOfItalyFrom, 1861]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalOfItalyFrom Context triple: [Turin, capitalOfItalyFrom, 1861]
-
A.
timeInCapital
Indicates that a specified amount of time is spent or occurs within the capital city of a given political or administrative entity.
-
B.
capitalOfLeadingPower
Indicates that one entity is the capital city of a dominant or leading political, economic, or military power.
-
C.
regionalOrganizationCapital
Indicates that a city serves as the capital or administrative center of a specified regional organization.
-
D.
capitalOfCountryLocatedOn
Indicates that a city serves as the capital of a country that is geographically located on a specified landmass or region.
-
E.
countryCapitalLocatedOn
Indicates that the capital city of a country is situated on or directly adjacent to a specified geographic feature (such as a river, coast, or lake).
- F. None of above. chosen
Provenance (4 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b9874c88190bd1e08d4689ea124 |
completed | March 1, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69a494c9315c8190a773e8e00737d8a0 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a4985a2d08819090947895d9439e06 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:33 p.m.