Triple
T21042915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wajo |
E518372
|
entity |
| Predicate | alliedWith |
P37
|
FINISHED |
| Object | Soppeng |
—
|
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: Soppeng | Statement: [Wajo, alliedWith, Soppeng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soppeng Context triple: [Wajo, alliedWith, Soppeng]
-
A.
Soppeng
chosen
Soppeng is a historical region and former kingdom in South Sulawesi, Indonesia, known for its Bugis culture and role in regional politics.
-
B.
Mbaru Niang
Mbaru Niang is a distinctive cone-shaped, multi-story traditional house of the Manggarai people in Flores, Indonesia, known for its communal design and thatched, towering structure.
-
C.
Sarilamak
Sarilamak is a town in West Sumatra, Indonesia, that serves as the administrative center of Lima Puluh Kota Regency.
-
D.
Lontong Orari
Lontong Orari is a traditional Banjar rice cake dish from South Kalimantan, Indonesia, typically served with rich coconut-based soup and assorted side dishes.
-
E.
Pandesara
Pandesara is an industrial and residential suburb located within the Surat metropolitan region in the Indian state of Gujarat.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcf1950081908ff9fe8719e1e81b |
completed | April 21, 2026, 4:28 a.m. |
Created at: April 16, 2026, 2:17 p.m.