Triple
T15777643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baku Metro |
E382528
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Memar Ajami station
Memar Ajami station is a key interchange stop on the Baku Metro system in Azerbaijan’s capital city.
|
E1177400
|
NE FINISHED |
How this triple was built (4 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: Memar Ajami station | Statement: [Baku Metro, hasStation, Memar Ajami station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Memar Ajami station Context triple: [Baku Metro, hasStation, Memar Ajami station]
-
A.
Shariati station
Shariati station is a metro station on the Mashhad Metro system in Mashhad, Iran, serving as a local public transit stop for commuters in the city.
-
B.
Yadegar-e Emam station
Yadegar-e Emam station is a Tehran Metro station serving passengers on the city’s Line 6.
-
C.
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.
-
D.
Mirdamad Metro Station
Mirdamad Metro Station is an urban rail transit stop on Tehran’s Metro network serving the Mirdamad district, a major commercial and business area in northern Tehran.
-
E.
Al Jadaf Metro Station
Al Jadaf Metro Station is a passenger station on Dubai’s Metro network serving the Al Jaddaf area along the Green Line.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Memar Ajami station Triple: [Baku Metro, hasStation, Memar Ajami station]
Generated description
Memar Ajami station is a key interchange stop on the Baku Metro system in Azerbaijan’s capital city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Memar Ajami station Target entity description: Memar Ajami station is a key interchange stop on the Baku Metro system in Azerbaijan’s capital city.
-
A.
Shariati station
Shariati station is a metro station on the Mashhad Metro system in Mashhad, Iran, serving as a local public transit stop for commuters in the city.
-
B.
Yadegar-e Emam station
Yadegar-e Emam station is a Tehran Metro station serving passengers on the city’s Line 6.
-
C.
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.
-
D.
Mirdamad Metro Station
Mirdamad Metro Station is an urban rail transit stop on Tehran’s Metro network serving the Mirdamad district, a major commercial and business area in northern Tehran.
-
E.
Al Jadaf Metro Station
Al Jadaf Metro Station is a passenger station on Dubai’s Metro network serving the Al Jaddaf area along the Green Line.
- F. None of above. chosen
Provenance (5 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05199cd8881909462462cec34d35a |
completed | April 16, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff909d7b7c81908b62faa2ab378fad |
completed | May 9, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_69ff9414408c8190903421d28519d9e6 |
completed | May 9, 2026, 8:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9498642081909fd617a327b4c704 |
completed | May 9, 2026, 8:10 p.m. |
Created at: April 10, 2026, 4:47 a.m.