Triple
T1573093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Williamsburg |
E33584
|
entity |
| Predicate | capitalOfFrom |
P30707
|
FINISHED |
| Object | 1699 |
—
|
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: 1699 | Statement: [Williamsburg, capitalOfFrom, 1699]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalOfFrom Context triple: [Williamsburg, capitalOfFrom, 1699]
-
A.
countryCapitalOf
Indicates that a country serves as the capital location for a specified political or geographic entity.
-
B.
capitalCityOfCountry
Indicates that a city serves as the official capital of a specified country.
-
C.
regionCapital
Indicates that one entity is the capital city or administrative center of a specified region.
-
D.
homeCountryCapital
Indicates that a given city is the capital of a specified country that serves as an entity’s home or origin.
-
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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a96083e7308190abbf025fe8e43abb |
completed | March 5, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69a907ba63c88190b60c14dec8d1e40f |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a9607716b4819092187f8c08daaf31 |
completed | March 5, 2026, 10:52 a.m. |
Created at: March 4, 2026, 7:27 p.m.