Triple
T16627954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpheus |
E403999
|
entity |
| Predicate | tributary |
P415
|
FINISHED |
| Object | Ladon River |
E365224
|
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: Ladon River | Statement: [Alpheus, tributary, Ladon River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ladon River Context triple: [Alpheus, tributary, Ladon River]
-
A.
Ladon River
chosen
The Ladon River is a significant river in the Peloponnese region of Greece, known for its scenic course through mountainous landscapes and its role in ancient Greek geography and mythology.
-
B.
Inachus River
The Inachus River is a river in the northeastern Peloponnese of Greece, traditionally associated with the ancient city of Argos and prominent in Greek mythology.
-
C.
Pindar River
The Pindar River is a Himalayan river in the Indian state of Uttarakhand that originates from the Pindari Glacier and flows through the Garhwal region before joining the Alaknanda River.
-
D.
Nea River
Nea River is a river that flows through the Nea Valley, giving the region its name and shaping its surrounding landscape.
-
E.
Tynda River
The Tynda River is a tributary of the Zeya River in Russia’s Amur Oblast, known for flowing through the town of Tynda in the Russian Far East.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e2683481908c9a5ed895a09a6e |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084b7b94481909dfc0dd7b009a5b4 |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:17 a.m.