Triple
T28589862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shangjing |
E723611
|
entity |
| Predicate | foundedAsCapitalInYear |
P1263
|
FINISHED |
| Object | 918 |
—
|
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: 918 | Statement: [Shangjing, foundedAsCapitalInYear, 918]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsCapitalInYear Context triple: [Shangjing, foundedAsCapitalInYear, 918]
-
A.
inauguratedAsCapital
Indicates that a place was officially declared and established as the capital of a political or administrative entity.
-
B.
capitalCityEstablished
chosen
Indicates that a particular city was officially designated or founded as the capital of a political or administrative entity.
-
C.
servedAsNationalCapitalFrom
Indicates that a place functioned as the national capital of a country or political entity during a specified time period.
-
D.
wasFirstCapitalOf
Indicates that one place previously served as the earliest or original capital city of another political or administrative entity.
-
E.
capitalOfFoundedState
Indicates that a city serves as the capital of a state (or similar political entity) that it also founded or played a founding role in establishing.
- 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: April 28, 2026, 4:19 a.m.