Triple
T6847980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santo Domingo cable car |
E157943
|
entity |
| Predicate | crosses |
P416
|
FINISHED |
| Object | Ozama River |
E208157
|
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: Ozama River | Statement: [Santo Domingo cable car, crosses, Ozama River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ozama River Context triple: [Santo Domingo cable car, crosses, Ozama River]
-
A.
Ozama River
chosen
The Ozama River is a major waterway in the Dominican Republic that flows through the capital city of Santo Domingo and into the Caribbean Sea.
-
B.
Oya River
The Oya River is a river in Sarawak, Malaysia, that flows through coastal lowlands and supports local communities with fishing, transport, and agriculture.
-
C.
Sei River
The Sei River is a smaller watercourse in western India that feeds into the Sabarmati River within the arid and semi-arid landscape of Rajasthan and Gujarat.
-
D.
Okano River
The Okano River is a significant river in Gabon that serves as one of the principal tributaries feeding the Ogooué River system.
-
E.
Segama River
The Segama River is one of the longest and most significant rivers in the Malaysian state of Sabah, known for flowing through rich rainforest and wildlife habitats in eastern Borneo.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7ce3e7481908e0472b8faafa473 |
completed | March 27, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c845cc4f748190a666ab40b183cb3a |
completed | March 28, 2026, 9:19 p.m. |
Created at: March 27, 2026, 2:20 p.m.