Triple
T6918082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sulak River |
E160113
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Andi Koysu |
E629748
|
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: Andi Koysu | Statement: [Sulak River, hasTributary, Andi Koysu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andi Koysu Context triple: [Sulak River, hasTributary, Andi Koysu]
-
A.
Andi Koysu
chosen
Andi Koysu is a river in the North Caucasus that forms one of the main headwaters of the Sulak River in Dagestan, Russia.
-
B.
Tasya van Ree
Tasya van Ree is an American artist and photographer known for her black-and-white portraits and conceptual work, as well as her involvement in the Los Angeles art scene.
-
C.
Andi Sullivan
Andi Sullivan is an American professional soccer midfielder and U.S. women’s national team player known for her leadership and playmaking in the National Women’s Soccer League.
-
D.
Andi
Andi is a common diminutive or nickname for the given name Andreas.
-
E.
Christine Karim
Christine Karim is the mother of YouTube co-founder Jawed Karim.
- 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_69c6883ab1008190a07129ff06f625d9 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9e17ea08190b8c4142af8adfba0 |
completed | March 27, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7584fa7208190a0c5338e20518578 |
completed | March 28, 2026, 4:25 a.m. |
Created at: March 27, 2026, 2:26 p.m.