Triple
T7119539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tianjin Eye |
E165912
|
entity |
| Predicate | crosses |
P416
|
FINISHED |
| Object | Hai River |
E69706
|
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: Hai River | Statement: [Tianjin Eye, crosses, Hai River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hai River Context triple: [Tianjin Eye, crosses, Hai River]
-
A.
Hai River
chosen
The Hai River is a major river system in northern China that flows through the Beijing–Tianjin region into the Bohai Sea, playing a crucial role in regional water supply, agriculture, and transportation.
-
B.
Hoang Long River
Hoang Long River is a river in northern Vietnam that flows through Ninh Binh Province, contributing to the region’s agriculture and landscape.
-
C.
Ou River
The Ou River is a major river in southeastern China that flows through Zhejiang Province and empties into the East China Sea near the city of Wenzhou.
-
D.
Kien Giang River
Kien Giang River is a river in Quang Binh Province, Vietnam, known for flowing through Le Thuy District and supporting local agriculture and transportation.
-
E.
Cau-Cau River
The Cau-Cau River is a waterway in southern Chile that flows through the city of Valdivia, contributing to its network of navigable rivers and wetlands.
- 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e61b8a288190a165ea25adfaaef5 |
completed | March 27, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bf7c0bb88190ac03e2279512d837 |
completed | March 28, 2026, 11:46 a.m. |
Created at: March 27, 2026, 2:43 p.m.