Triple
T13417422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maros Regency |
E313248
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Maros |
E555091
|
NE FINISHED |
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: Maros | Statement: [Maros Regency, capital, Maros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maros Context triple: [Maros Regency, capital, Maros]
-
A.
Maros
Maros is the historical name of the Mureș River, a major waterway flowing through central and eastern Europe, particularly present-day Romania and Hungary.
-
B.
Maros
chosen
Maros is a regency in South Sulawesi, Indonesia, known for its proximity to Makassar and its role as a regional transport hub and gateway via Sultan Hasanuddin International Airport.
-
C.
Watampone
Watampone is the main urban and administrative center of Bone Regency in South Sulawesi, Indonesia.
-
D.
Palu Valley
Palu Valley is a lowland region in Central Sulawesi, Indonesia, known for its coastal plain around the city of Palu and its role as an economic and transportation hub in the area.
-
E.
Melawi
Melawi is a regency-level administrative area in the interior of West Kalimantan, Indonesia, known for its riverine landscapes and predominantly Dayak communities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb8416c8190a00dde0917c26f51 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73082a2548190aefc0f202b84165c |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:39 p.m.