Triple
T12675854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarn |
E302809
|
entity |
| Predicate | traversedBy |
P225
|
FINISHED |
| Object | Agout River |
E466313
|
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: Agout River | Statement: [Tarn, traversedBy, Agout River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agout River Context triple: [Tarn, traversedBy, Agout River]
-
A.
Agout River
chosen
The Agout River is a significant waterway in southern France that flows through the Tarn and Hérault departments, supporting local ecosystems, agriculture, and towns along its course.
-
B.
Adaja River
The Adaja River is a significant river in central Spain that flows through the province of Ávila before joining the Douro River system.
-
C.
Letaba River
The Letaba River is a major watercourse in northeastern South Africa that flows through the Kruger National Park, supporting diverse wildlife and ecosystems along its banks.
-
D.
Arly River
The Arly River is a mountain river in southeastern France that flows through the Savoie region before joining the Isère.
-
E.
Umiam River
Umiam River is a river in the Indian state of Meghalaya that feeds the scenic Umiam Lake near Shillong and supports regional hydropower and water resources.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b0d9c88190a05d6cbcb7a1642d |
completed | April 10, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd084d94081909ae911fce5640aaf |
completed | May 7, 2026, 5:48 p.m. |
Created at: April 9, 2026, 5:20 p.m.