Triple
T8235715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Busan Central Bus Terminal |
E192399
|
entity |
| Predicate | locatedInNeighborhood |
P40
|
FINISHED |
| Object |
Nopo
Nopo is a neighborhood in Busan, South Korea, known as a major transportation hub and gateway to the city.
|
E720743
|
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 | Statement: [Busan Central Bus Terminal, locatedInNeighborhood, Nopo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nopo Context triple: [Busan Central Bus Terminal, locatedInNeighborhood, Nopo]
-
A.
Neyo
Ne-Yo is an American R&B singer, songwriter, and record producer known for hits like "So Sick" and "Closer" and for writing songs for numerous major artists.
-
B.
Nespolo
Nespolo is a small Italian municipality located in the Lazio region, known for its rural character and scenic Apennine surroundings.
-
C.
Punasa
Punasa is a town in Madhya Pradesh, India, known for its proximity to the major Indira Sagar Dam on the Narmada River.
-
D.
Noʻkis
Noʻkis is the Karakalpak-language name for Nukus, the capital city of the autonomous Republic of Karakalpakstan in northwestern Uzbekistan.
-
E.
Nopiloa
Nopiloa is an archaeological site in Veracruz, Mexico, associated with the Classic Veracruz culture and known for its distinctive ceramics and funerary practices.
- 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 Triple: [Busan Central Bus Terminal, locatedInNeighborhood, Nopo]
Generated description
Nopo is a neighborhood in Busan, South Korea, known as a major transportation hub and gateway to the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nopo Target entity description: Nopo is a neighborhood in Busan, South Korea, known as a major transportation hub and gateway to the city.
-
A.
Neyo
Ne-Yo is an American R&B singer, songwriter, and record producer known for hits like "So Sick" and "Closer" and for writing songs for numerous major artists.
-
B.
Nespolo
Nespolo is a small Italian municipality located in the Lazio region, known for its rural character and scenic Apennine surroundings.
-
C.
Punasa
Punasa is a town in Madhya Pradesh, India, known for its proximity to the major Indira Sagar Dam on the Narmada River.
-
D.
Noʻkis
Noʻkis is the Karakalpak-language name for Nukus, the capital city of the autonomous Republic of Karakalpakstan in northwestern Uzbekistan.
-
E.
Nopiloa
Nopiloa is an archaeological site in Veracruz, Mexico, associated with the Classic Veracruz culture and known for its distinctive ceramics and funerary practices.
- 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb782a5e18819096235679f5a644a8 |
completed | March 31, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd34fb069c8190965d69fae908482e |
completed | April 1, 2026, 3:08 p.m. |
| NEDg | Description generation | batch_69cd37a290508190b598f96220056041 |
completed | April 1, 2026, 3:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd4eb519608190b5d0f534170214b5 |
completed | April 1, 2026, 4:58 p.m. |
Created at: March 30, 2026, 5:46 p.m.