Triple
T10633053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roxas City |
E250505
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Panay River |
E481893
|
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: Panay River | Statement: [Roxas City, locatedOnRiver, Panay River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panay River Context triple: [Roxas City, locatedOnRiver, Panay River]
-
A.
Panay River
chosen
Panay River is a major river on Panay Island in the Philippines, flowing through Capiz province and serving as an important waterway for local communities and agriculture.
-
B.
Sipna River
The Sipna River is a smaller river in central India that feeds into the larger Tapti River system.
-
C.
Kalimyo River
The Kalimyo River is a waterway in western Myanmar whose mouth is at the coastal city of Sittwe on the Bay of Bengal.
-
D.
Kahayan River
The Kahayan River is a major river in Indonesian Borneo that flows through Central Kalimantan, serving as an important waterway for transportation, livelihoods, and regional ecology.
-
E.
Yuam River
The Yuam River is a significant river in western Thailand that flows through mountainous terrain and forested areas before joining the Salween River near the Thai–Myanmar border.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df95f5e88190b34ce3ec972759ef |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a3e0e1481909c277be4c12b46ea |
completed | April 10, 2026, 10:31 p.m. |
Created at: April 8, 2026, 9:02 p.m.