Triple
T17364306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talysh Mountains |
E422147
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Lankaran |
—
|
NE NERFINISHED |
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: Lankaran | Statement: [Talysh Mountains, nearbyCity, Lankaran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lankaran Context triple: [Talysh Mountains, nearbyCity, Lankaran]
-
A.
Lankaran
chosen
Lankaran is a city in southeastern Azerbaijan near the Caspian Sea, known for its subtropical climate, tea and citrus cultivation, and historical role as a regional administrative center.
-
B.
Lankaran Uyezd
Lankaran Uyezd was an administrative district of the Russian Empire located in the southern part of present-day Azerbaijan along the Caspian Sea.
-
C.
Jazirat Mashtan
Jazirat Mashtan is one of the small islands within Bahrain’s Hawar Islands archipelago in the Persian Gulf.
-
D.
Balakan
Balakan is a town and district center in northwestern Azerbaijan, near the border with Georgia and Russia, known for its mountainous landscapes and agricultural production.
-
E.
Liman
Liman is a surname most notably associated with American film director and producer Doug Liman.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4f52988190847230e119a35b87 |
completed | April 19, 2026, 2:13 a.m. |
Created at: April 10, 2026, 5:44 a.m.