Triple
T13432517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mashhad railway station |
E313646
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Neyshabur |
E897897
|
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: Neyshabur | Statement: [Mashhad railway station, connectsTo, Neyshabur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neyshabur Context triple: [Mashhad railway station, connectsTo, Neyshabur]
-
A.
Neyshabur
chosen
Neyshabur is a historic city in northeastern Iran renowned for its cultural heritage, turquoise mines, and as the resting place of poet and polymath Omar Khayyam.
-
B.
Nurabad
Nurabad is a city in western Iran that serves as a local urban center within Lorestan Province.
-
C.
Istakhr
Istakhr was an ancient city in southwestern Iran that served as an early political and religious center for the Sasanian dynasty near the ruins of Persepolis.
-
D.
Nasirshahr
Nasirshahr is a city in Robat Karim County within Tehran Province, Iran, functioning as a local urban center for the surrounding region.
-
E.
Azarshahr
Azarshahr is a city in northwestern Iran known for its location within East Azerbaijan Province and its role as a local administrative and economic center.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed41a5481908800033303224adb |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde15abe6c8190a6212861bbce790e |
completed | May 8, 2026, 1:12 p.m. |
Created at: April 9, 2026, 9:40 p.m.