Triple
T10179190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Termez |
E235939
|
entity |
| Predicate | hasTransportInfrastructure |
P2560
|
FINISHED |
| Object | Termez river port |
E235939
|
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: Termez river port | Statement: [Termez, hasTransportInfrastructure, Termez river port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Termez river port Context triple: [Termez, hasTransportInfrastructure, Termez river port]
-
A.
Termez
chosen
Termez is a historic city in southern Uzbekistan near the Afghan border, known as an important cultural and trade center along the ancient Silk Road.
-
B.
Shemakhan
Shemakhan is a fictional realm best known as the exotic homeland of the seductive Queen of Shemakha in Russian literature and opera.
-
C.
Ust-Koksa
Ust-Koksa is a rural settlement in Russia’s Altai Republic, known as a gateway village for trekking and tourism in the Belukha Mountain region of the Altai Mountains.
-
D.
Yozgat
Yozgat is a city in central Turkey known for its location on the Anatolian plateau and its traditional Anatolian culture and history.
-
E.
Aras Dam
Aras Dam is a major hydroelectric and irrigation dam on the transboundary Aras River, playing a key role in water management and power generation in the region between Iran and the South Caucasus.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdecd7ed608190bfdec8b61cc99205 |
completed | April 2, 2026, 4:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3012d11488190a410d389034da887 |
completed | April 6, 2026, 12:41 a.m. |
Created at: March 30, 2026, 9:11 p.m.