Triple
T13432572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mashhad Metro |
E313647
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Mashhad railway station |
E313646
|
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: Mashhad railway station | Statement: [Mashhad Metro, connectsTo, Mashhad railway station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mashhad railway station Context triple: [Mashhad Metro, connectsTo, Mashhad railway station]
-
A.
Mashhad railway station
chosen
Mashhad railway station is a major rail transport hub in Mashhad, Iran, serving as one of the country’s busiest passenger terminals and a key gateway to the city’s religious and commercial centers.
-
B.
Dowlat Abad station
Dowlat Abad station is a metro station in Tehran that serves passengers on the city's Line 6.
-
C.
Vakilabad station
Vakilabad station is a metro station in Mashhad, Iran, serving as one of the key stops on the Mashhad Metro network.
-
D.
Shahid Sattari station
Shahid Sattari station is a passenger station on Tehran Metro’s Line 6 serving commuters in its surrounding area of the city.
-
E.
Navab-e Safavi station
Navab-e Safavi station is a Tehran Metro station serving passengers in central Tehran as part of the city’s urban rail network.
- 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_69f7547880d48190af9b30e4e521a952 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:40 p.m.