Triple
T4676123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Tern |
E103684
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | River Meese |
E275093
|
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: River Meese | Statement: [River Tern, hasTributary, River Meese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Meese Context triple: [River Tern, hasTributary, River Meese]
-
A.
River Meese
chosen
River Meese is a small river in Shropshire, England, that flows through rural countryside before joining the River Tern.
-
B.
Nevėžis River
The Nevėžis River is one of Lithuania’s major rivers, flowing through the central part of the country and playing an important role in its regional landscape and settlements.
-
C.
Neches River
The Neches River is a major waterway in eastern Texas that flows from near Tyler to the Gulf of Mexico, supporting regional ecosystems, industry, and recreation.
-
D.
Rapid River
Rapid River is a watercourse that serves as one of the tributary rivers flowing into Lake of the Woods in North America.
-
E.
Tüp River
The Tüp River is a mountain river in northeastern Kyrgyzstan that flows into Lake Issyk-Kul, contributing to the lake’s freshwater inflow.
- 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_69bd43dda32c8190938b37744ca270fc |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63685cb88190ac1904e2c7eb6b61 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20ce295f081909046cbc278ee6183 |
completed | March 24, 2026, 4:02 a.m. |
Created at: March 20, 2026, 1:16 p.m.