Triple
T14753770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hai River Delta |
E346678
|
entity |
| Predicate | drainageSystem |
P3833
|
FINISHED |
| Object | Ziya River |
E420752
|
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: Ziya River | Statement: [Hai River Delta, drainageSystem, Ziya River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ziya River Context triple: [Hai River Delta, drainageSystem, Ziya River]
-
A.
Ziya River
chosen
The Ziya River is a major river in northern China that serves as one of the principal tributaries feeding into the Hai River system.
-
B.
Karatal River
The Karatal River is a significant river in southeastern Kazakhstan that flows through the Almaty Region before emptying into Lake Balkhash.
-
C.
Yazgulem River
The Yazgulem River is a significant mountain river in the Pamir region of Tajikistan, known for draining remote high-altitude valleys before joining the Panj River.
-
D.
Cemi River
The Cemi River is a mountain river in the Balkans that flows through the rugged Prokletije range, contributing to the region’s dramatic alpine landscape and hydrology.
-
E.
Gök River
Gök River is a tributary watercourse in northwestern Turkey that feeds into the larger Sakarya River system.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d59df08190a86da5048358bd6e |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00179824c88190aeef28a08eb1a0c9 |
completed | May 10, 2026, 5:28 a.m. |
Created at: April 10, 2026, 1:30 a.m.