Triple
T8053889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nopo-dong |
E187743
|
entity |
| Predicate | hasFacility |
P105
|
FINISHED |
| Object |
Nopo Metro Station
Nopo Metro Station is a subway station in Busan, South Korea, serving as a key transit hub for the Nopo-dong area.
|
E709285
|
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: Nopo Metro Station | Statement: [Nopo-dong, hasFacility, Nopo Metro Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nopo Metro Station Context triple: [Nopo-dong, hasFacility, Nopo Metro Station]
-
A.
Shoush Metro Station
Shoush Metro Station is a stop on Tehran’s Metro system serving passengers along Line 1 in the Shoush neighborhood.
-
B.
Rokin metro station
Rokin metro station is an underground station on Amsterdam’s North–South metro line, located beneath the Rokin street in the city center.
-
C.
Rhoon metro station
Rhoon metro station is a rapid transit station on the Rotterdam Metro network serving the village of Rhoon in the Netherlands.
-
D.
Ayala station
Ayala station is a major elevated rapid transit stop on Manila's MRT Line 3 serving the busy Makati Central Business District in the Philippines.
-
E.
Hitec City metro station
Hitec City metro station is a key elevated station on the Hyderabad Metro network that serves the major IT and business district of HITEC City.
- 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: Nopo Metro Station Triple: [Nopo-dong, hasFacility, Nopo Metro Station]
Generated description
Nopo Metro Station is a subway station in Busan, South Korea, serving as a key transit hub for the Nopo-dong area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nopo Metro Station Target entity description: Nopo Metro Station is a subway station in Busan, South Korea, serving as a key transit hub for the Nopo-dong area.
-
A.
Shoush Metro Station
Shoush Metro Station is a stop on Tehran’s Metro system serving passengers along Line 1 in the Shoush neighborhood.
-
B.
Rokin metro station
Rokin metro station is an underground station on Amsterdam’s North–South metro line, located beneath the Rokin street in the city center.
-
C.
Rhoon metro station
Rhoon metro station is a rapid transit station on the Rotterdam Metro network serving the village of Rhoon in the Netherlands.
-
D.
Ayala station
Ayala station is a major elevated rapid transit stop on Manila's MRT Line 3 serving the busy Makati Central Business District in the Philippines.
-
E.
Hitec City metro station
Hitec City metro station is a key elevated station on the Hyderabad Metro network that serves the major IT and business district of HITEC City.
- 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_69ca82b15e948190a62fd7af5218426a |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f9fb8dc8190bacc1f66ddfd1cbf |
completed | March 31, 2026, 3:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63d2d5008190b768e7a8b910e460 |
completed | April 1, 2026, 12:16 a.m. |
| NEDg | Description generation | batch_69cc651b4be08190ad76c70b1d617c1a |
completed | April 1, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc664700dc819097d149931cf49673 |
completed | April 1, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:25 p.m.