Triple
T12291598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aa River |
E292976
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Aa River |
E292976
|
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: Aa River | Statement: [Aa River, hasName, Aa River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aa River Context triple: [Aa River, hasName, Aa River]
-
A.
Aa River
chosen
The Aa River is a waterway in northern France that flows through the town of Saint-Omer before emptying into the North Sea.
-
B.
Geum River
The Geum River is a major river in western South Korea that flows through the central region before emptying into the Yellow Sea.
-
C.
Harangi River
The Harangi River is a tributary of the Kaveri River in Karnataka, India, known for the Harangi Dam that supports irrigation and regional water management.
-
D.
Sangkae River
The Sangkae River is a key waterway in northwestern Cambodia that flows through and sustains the city of Battambang and its surrounding agricultural areas.
-
E.
Bara River
The Bara River is a tributary of the Kabul River flowing through the Khyber Pakhtunkhwa region of Pakistan, passing near the city of Peshawar.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d22ba488190914342fa7e69e159 |
completed | April 10, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce593bbc8190827ca217f43140b9 |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 8, 2026, 9:52 p.m.