Triple
T38584023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eversong Woods |
E932305
|
entity |
| Predicate | capitalCityContains |
P37276
|
FINISHED |
| Object | Silvermoon City |
—
|
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: Silvermoon City | Statement: [Eversong Woods, capitalCityContains, Silvermoon City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalCityContains Context triple: [Eversong Woods, capitalCityContains, Silvermoon City]
-
A.
containsCapitalCity
chosen
Indicates that a geographic or political region includes within its boundaries the capital city associated with it.
-
B.
capitalOfCountryContained
Indicates that a city serves as the capital of a country that is geographically contained within a specified larger region or entity.
-
C.
containsCapitalOf
Indicates that one location geographically includes the city that serves as the capital of another region or entity.
-
D.
countryCapitalOfContainingCity
Indicates that a country is the capital-holding nation for a city that lies within its territorial boundaries.
-
E.
capitalHasElement
Indicates that a capital city includes or contains a particular component, such as a district, building, or landmark, as one of its elements.
- 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe766490c081908c49c8cc07d0ae9b |
completed | May 8, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69fe75bb5f4481908572a5ffcbdc5154 |
completed | May 8, 2026, 11:46 p.m. |
Created at: May 3, 2026, 4:32 p.m.