Triple
T5470213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hood Canal |
E122811
|
entity |
| Predicate | hasInflow |
P967
|
FINISHED |
| Object | Hamma Hamma River |
E372197
|
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: Hamma Hamma River | Statement: [Hood Canal, hasInflow, Hamma Hamma River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamma Hamma River Context triple: [Hood Canal, hasInflow, Hamma Hamma River]
-
A.
Hamma Hamma River
chosen
The Hamma Hamma River is a scenic river in Washington State that flows from the eastern slopes of the Olympic Mountains through forested valleys into Hood Canal.
-
B.
Progo River
Progo River is a major river in Central Java, Indonesia, flowing near the Borobudur Temple and eventually emptying into the Indian Ocean.
-
C.
Ofanto River
The Ofanto River is a major river in southern Italy that flows through the regions of Campania, Basilicata, and Apulia before emptying into the Adriatic Sea.
-
D.
Letaba River
The Letaba River is a major watercourse in northeastern South Africa that flows through the Kruger National Park, supporting diverse wildlife and ecosystems along its banks.
-
E.
Titas River
The Titas River is a distributary of the Meghna River in eastern Bangladesh, known for supporting local agriculture, fisheries, and riverine communities.
- 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_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd921b65f48190af7fcf89140f9ba8 |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bf45fbf08190b2b98f3eb75eafa3 |
completed | March 23, 2026, 4:19 a.m. |
Created at: March 20, 2026, 2:09 p.m.