Triple
T7406039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lima Puluh Kota Regency |
E170871
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Batang Maek |
E662380
|
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: Batang Maek | Statement: [Lima Puluh Kota Regency, hasRiver, Batang Maek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Batang Maek Context triple: [Lima Puluh Kota Regency, hasRiver, Batang Maek]
-
A.
Batang
Batang is a regency-level town and administrative center on the northern coast of Central Java, Indonesia, known for its coastal economy and role as a regional transport hub.
-
B.
Batang Sinamar
chosen
Batang Sinamar is a river in West Sumatra, Indonesia, that flows through Lima Puluh Kota Regency and supports the region’s agriculture and local communities.
-
C.
Tonsawang
Tonsawang is an Austronesian language spoken by the Tonsawang people in North Sulawesi, Indonesia.
-
D.
Watampone
Watampone is the main urban and administrative center of Bone Regency in South Sulawesi, Indonesia.
-
E.
Laem Chabang
Laem Chabang is Thailand’s largest deep-sea commercial port and a major hub for maritime trade in Southeast Asia.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f275c6e481908b4ce9ff1e418296 |
completed | March 27, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ed79680819087a56082e968c266 |
completed | March 28, 2026, 6:32 p.m. |
Created at: March 27, 2026, 3:10 p.m.