Triple
T28884721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ciracas |
E732523
|
entity |
| Predicate | hasCountryCapitalRegion |
P35164
|
FINISHED |
| Object | Special Capital Region of Jakarta |
—
|
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: Special Capital Region of Jakarta | Statement: [Ciracas, hasCountryCapitalRegion, Special Capital Region of Jakarta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountryCapitalRegion Context triple: [Ciracas, hasCountryCapitalRegion, Special Capital Region of Jakarta]
-
A.
majorCountryCapitalRegion
Indicates that a region serves as the capital area or primary administrative region of a major country.
-
B.
countryCapitalRegion
chosen
Indicates that a specified region is the capital region (administrative capital area) of a given country.
-
C.
modernCountryCapitalOfRegion
Indicates that a modern country serves as the capital or primary governing center of a specified region.
-
D.
countryCapitalRegionFor
Indicates that a specified region serves as the capital area or administrative capital region for a given country.
-
E.
hasCountryOfCapital
Indicates that a capital city is associated with or belongs to a specific country.
- 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_69f05b07bdec819080cadfe147aa1f25 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69ffff262fac8190a26ed0577e1860bd |
completed | May 10, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69fffcad7d7c8190a4ad7bb35e33bb75 |
completed | May 10, 2026, 3:34 a.m. |
Created at: April 28, 2026, 7:49 a.m.