Triple
T1304733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Can Tho |
E27847
|
entity |
| Predicate | bridgeCrosses |
P15474
|
FINISHED |
| Object | Hau River |
E230274
|
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: Hau River | Statement: [Can Tho, bridgeCrosses, Hau River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hau River Context triple: [Can Tho, bridgeCrosses, Hau River]
-
A.
Hau River
chosen
The Hau River is a major distributary of the Mekong River in southern Vietnam, playing a vital role in the Mekong Delta’s transportation, agriculture, and economy.
-
B.
Karuah River
The Karuah River is a waterway in New South Wales, Australia, that flows into the coastal inlet of Port Stephens.
-
C.
Hiran River
The Hiran River is a significant river in central India that flows through Madhya Pradesh and Gujarat, supporting local ecosystems and communities before joining the Narmada River.
-
D.
Shinfa River
The Shinfa River is a tributary watercourse that feeds into the Atbara River in northeastern Africa.
-
E.
Hai River
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.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c13393388190b784d6bd8c447dda |
completed | March 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae3037944c8190b2ced5f5ca539260 |
completed | March 9, 2026, 2:28 a.m. |
Created at: March 1, 2026, 7:51 p.m.