Triple
T10401174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maros River |
E245148
|
entity |
| Predicate | nameInHungarian |
P27628
|
FINISHED |
| Object | Maros |
E298965
|
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 River, nameInHungarian, Maros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maros Context triple: [Maros River, nameInHungarian, Maros]
-
A.
Maros
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.
-
B.
Maros
chosen
Maros is the historical name of the Mureș River, a major waterway flowing through central and eastern Europe, particularly present-day Romania and Hungary.
-
C.
Watampone
Watampone is the main urban and administrative center of Bone Regency in South Sulawesi, Indonesia.
-
D.
Melawi
Melawi is a regency-level administrative area in the interior of West Kalimantan, Indonesia, known for its riverine landscapes and predominantly Dayak communities.
-
E.
Pakpak-Dairi
Pakpak-Dairi is an Austronesian language spoken by the Pakpak (Dairi) people of northern Sumatra, Indonesia.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9e2f11c8190b30695cba2975544 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fbd13c888190b3a79a9aacb5291e |
completed | April 9, 2026, 7:19 p.m. |
Created at: April 6, 2026, 12:07 p.m.