Triple
T32934142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal House of Negeri Sembilan |
E842481
|
entity |
| Predicate | hasCapitalResidence |
P198737
|
FINISHED |
| Object | Seri Menanti |
—
|
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: Seri Menanti | Statement: [Royal House of Negeri Sembilan, hasCapitalResidence, Seri Menanti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCapitalResidence Context triple: [Royal House of Negeri Sembilan, hasCapitalResidence, Seri Menanti]
-
A.
hasCapital
Indicates that a place or political entity has a specific city designated as its capital.
-
B.
basedInCapital
Indicates that an entity is located or has its main base of operations in a capital city.
-
C.
hasSeatOfAdministration
Indicates that an administrative body or jurisdiction has a specific place or location that serves as its central seat of governance or administration.
-
D.
capitalIsNationalCapitalOf
Indicates that one place serves as the official national capital city of a specified country.
-
E.
capitalCityResidenceOf
Indicates that a person or entity resides in the capital city of a specified country or region.
- 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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff0214d7348190904688376df99bce |
completed | May 9, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69feffd62fec8190a855922c8b3c57cf |
completed | May 9, 2026, 9:35 a.m. |
| PDg | Predicate description generation | batch_69ff02141dbc8190b00bcea2aa734b3a |
completed | May 9, 2026, 9:44 a.m. |
Created at: May 1, 2026, 1:20 a.m.