Triple
T29974082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dengkil |
E761395
|
entity |
| Predicate | hasNearbyFederalTerritory |
P180481
|
FINISHED |
| Object | Putrajaya |
—
|
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: Putrajaya | Statement: [Dengkil, hasNearbyFederalTerritory, Putrajaya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyFederalTerritory Context triple: [Dengkil, hasNearbyFederalTerritory, Putrajaya]
-
A.
federalTerritory
Indicates that one entity is designated as a federal territory under the jurisdiction or authority of another (typically a federal government or state).
-
B.
hasFederalTerritory
Indicates that a sovereign state possesses and administers one or more territories directly under its federal authority rather than as constituent states or provinces.
-
C.
isWithinFederalCapitalTerritory
Indicates that one entity is geographically located inside the boundaries of the federal capital territory of another governing body or jurisdiction.
-
D.
hasNearbyProvince
Indicates that one province is geographically close to or directly adjacent to another province.
-
E.
hasNearbyJurisdiction
chosen
Indicates that one jurisdiction is geographically close to or adjacent to another jurisdiction.
- 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_69f22467626081908d5afea489590e96 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fe779248c081909f0ed1a2a0df23db |
completed | May 8, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69fe76eaf6d48190998bc7168749cc42 |
completed | May 8, 2026, 11:51 p.m. |
Created at: April 29, 2026, 6:33 p.m.