Triple
T5873629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apt |
E130575
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Calavon River |
E210590
|
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: Calavon River | Statement: [Apt, locatedOn, Calavon River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calavon River Context triple: [Apt, locatedOn, Calavon River]
-
A.
Calavon River
chosen
The Calavon River is a watercourse in southeastern France that flows through the Luberon region of Provence before joining the Durance River.
-
B.
Darro River
The Darro River is a small Andalusian river that flows through the historic center of Granada, Spain, running alongside the Alhambra and contributing to the city's distinctive landscape.
-
C.
Gavaraget River
The Gavaraget River is a watercourse in Armenia that serves as one of the tributaries feeding into Lake Sevan.
-
D.
Aven River
The Aven River is a picturesque waterway in Brittany, France, renowned for inspiring artists and flowing through the historic town of Pont-Aven before reaching the Atlantic Ocean.
-
E.
River Worfe
The River Worfe is a small river in Shropshire, England, that flows through rural countryside before joining the River Severn.
- 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_69c0085047dc8190af24e311edad3c07 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c035fafb54819085378e7c8d137402 |
completed | March 22, 2026, 6:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86117b56881909168f39747504797 |
completed | March 28, 2026, 11:15 p.m. |
Created at: March 22, 2026, 3:57 p.m.