Triple
T23080079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pitumpanua |
E575443
|
entity |
| Predicate | hasRegencyCapital |
P56433
|
FINISHED |
| Object | Sengkang |
—
|
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: Sengkang | Statement: [Pitumpanua, hasRegencyCapital, Sengkang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sengkang Context triple: [Pitumpanua, hasRegencyCapital, Sengkang]
-
A.
Sengkang
chosen
Sengkang is a town in South Sulawesi, Indonesia, known as an administrative and commercial center in the Wajo area.
-
B.
Sengkuni
Sengkuni is a cunning and manipulative character in Javanese adaptations of the Mahabharata, often portrayed as a scheming advisor who fuels conflict and deceit.
-
C.
Kedayan
The Kedayan are an indigenous Malay ethnic group primarily found in Brunei, Sabah (Malaysia), and parts of Kalimantan (Indonesia), traditionally known for agriculture and a distinct cultural identity closely linked to Bruneian Malay culture.
-
D.
Sembrong
Sembrong is a federal parliamentary constituency in the state of Johor, Malaysia.
-
E.
Serenggeh
Serenggeh is one of the smaller islands within Malaysia’s Perhentian Islands archipelago, known for its tropical marine environment and proximity to popular diving and snorkeling sites.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c66a80481909ebc2ba69f1e4bd9 |
completed | April 29, 2026, 4:43 a.m. |
Created at: April 17, 2026, 3:56 p.m.