Triple
T9920398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Hermon |
E187778
|
entity |
| Predicate | sourceOf |
P409
|
FINISHED |
| Object | Banias River |
E279224
|
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: Banias River | Statement: [Mount Hermon, sourceOf, Banias River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banias River Context triple: [Mount Hermon, sourceOf, Banias River]
-
A.
Banias River
chosen
The Banias River is a major spring-fed stream in the Golan Heights that forms one of the principal headwaters of the Jordan River.
-
B.
Geba River
The Geba River is a major West African waterway that flows through Guinea-Bissau to the Atlantic Ocean, forming an important estuary and transport route for the region.
-
C.
Sagi River
The Sagi River is a watercourse in western India that forms part of the Luni River basin in the arid regions of Rajasthan.
-
D.
Dahan River
The Dahan River is a major river in northern Taiwan that flows through Taoyuan and New Taipei City, playing a key role in regional water supply, agriculture, and flood control.
-
E.
Bihad River
The Bihad River is a regional river flowing through the Baghelkhand area of central India, contributing to the region’s drainage and local agriculture.
- 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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb5699bc48190961e036d1131fef0 |
completed | April 2, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d2e676c81909e4eed258ecdf053 |
completed | April 5, 2026, 10:45 a.m. |
Created at: March 30, 2026, 8:42 p.m.