Triple
T13577552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murghab River |
E324326
|
entity |
| Predicate | associatedCity |
P3207
|
FINISHED |
| Object | Yolöten |
E805785
|
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: Yolöten | Statement: [Murghab River, associatedCity, Yolöten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yolöten Context triple: [Murghab River, associatedCity, Yolöten]
-
A.
Yolöten
chosen
Yolöten is a town in Turkmenistan’s Mary Region, known as a local administrative and agricultural center in the southeastern part of the country.
-
B.
Loidoriki
Loidoriki is a historic town in central Greece that once formed part of the medieval Catalan-ruled territories in the region.
-
C.
Lohavan
Lohavan is a sacred forest region within the Vraja Mandala pilgrimage area associated with the pastimes of Lord Krishna in Hindu tradition.
-
D.
Pöllat
Pöllat is a mountain stream and gorge in Bavaria, Germany, known for flowing beneath Neuschwanstein Castle and the Marienbrücke (Queen Mary’s Bridge).
-
E.
Lödöse
Lödöse is a historic Swedish town that was one of the country’s earliest and most important medieval trading centers, located in the province of Västergötland.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb02de1988190af2d473973ecd529 |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bbbe3c08190a359dfe7c3c8f15c |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.