Triple
T4473213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dushanbe |
E98543
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object | Dushanbe railway station |
E98543
|
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: Dushanbe railway station | Statement: [Dushanbe, hasRailwayStation, Dushanbe railway station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dushanbe railway station Context triple: [Dushanbe, hasRailwayStation, Dushanbe railway station]
-
A.
Tashkent railway station
Tashkent railway station is the main rail hub of Uzbekistan’s capital, serving as a key junction for domestic and international train services across Central Asia.
-
B.
Karaganda railway station
Karaganda railway station is a major rail transport hub in Karaganda, Kazakhstan, handling regional and long-distance passenger and freight services.
-
C.
Dushanbe
chosen
Dushanbe is the largest city and political, economic, and cultural center of Tajikistan.
-
D.
Gomel railway station
Gomel railway station is the main passenger and transport hub serving the city of Gomel in southeastern Belarus.
-
E.
Tashkent Metro
Tashkent Metro is the rapid transit system serving Uzbekistan’s capital, notable for its Soviet-era architecture and ornately decorated underground stations.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356b95c888190a84bf4a9b2c60aa6 |
completed | March 13, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b628764bf081909a7a1079d0176c66 |
completed | March 15, 2026, 3:33 a.m. |
Created at: March 12, 2026, 11:35 p.m.