Triple
T21458045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E60 |
E529392
|
entity |
| Predicate | easternTerminus |
P388
|
FINISHED |
| Object | Irkeshtam |
—
|
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: Irkeshtam | Statement: [E60, easternTerminus, Irkeshtam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irkeshtam Context triple: [E60, easternTerminus, Irkeshtam]
-
A.
Irkeshtam
chosen
Irkeshtam is a remote border crossing and mountain pass linking Kyrgyzstan and China along the historic Silk Road in Central Asia.
-
B.
Abadan
Abadan is a port city in southwestern Iran, located on an island near the Persian Gulf and known for its major oil refinery and strategic position along the Shatt al-Arab waterway.
-
C.
Kangavar
Kangavar is a historic town in western Iran, known for its archaeological remains including a large terraced complex traditionally associated with a temple of Anahita.
-
D.
Harirud
Harirud is a major river in Central Asia that flows through Afghanistan, Iran, and Turkmenistan, playing an important role in regional agriculture and water resources.
-
E.
Sorkheh
Sorkheh is a small city in north-central Iran known for its location within Semnan Province and its semi-arid climate.
- 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9ec254081909a703056022f4f45 |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:08 p.m.