Triple
T2822341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swabi |
E54838
|
entity |
| Predicate | roadConnection |
P385
|
FINISHED |
| Object |
Topi
Topi is a town in Pakistan’s Khyber Pakhtunkhwa province, known for hosting the Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI).
|
E300995
|
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: Topi | Statement: [Swabi, roadConnection, Topi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Topi Context triple: [Swabi, roadConnection, Topi]
-
A.
Bubi
Bubi is a Bantu language spoken by the Bubi people, primarily on Bioko Island in Equatorial Guinea.
-
B.
Bubi
Bubi is the nickname of Erich Hartmann, the German World War II fighter pilot who became history’s highest-scoring flying ace.
-
C.
Coaty
Coaty is the official mascot of the NBA G League team Delaware Blue Coats, typically depicted as a lively, team-branded character that entertains fans at games and events.
-
D.
Michu
Michu is a retired Spanish attacking midfielder and forward best known for his prolific 2012–13 season with Swansea City in the English Premier League.
-
E.
Nala
Nala is a courageous lioness from Disney's "The Lion King," known as Simba's childhood friend and later queen of the Pride Lands.
- 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: Topi Triple: [Swabi, roadConnection, Topi]
Generated description
Topi is a town in Pakistan’s Khyber Pakhtunkhwa province, known for hosting the Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Topi Target entity description: Topi is a town in Pakistan’s Khyber Pakhtunkhwa province, known for hosting the Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI).
-
A.
Bubi
Bubi is a Bantu language spoken by the Bubi people, primarily on Bioko Island in Equatorial Guinea.
-
B.
Bubi
Bubi is the nickname of Erich Hartmann, the German World War II fighter pilot who became history’s highest-scoring flying ace.
-
C.
Coaty
Coaty is the official mascot of the NBA G League team Delaware Blue Coats, typically depicted as a lively, team-branded character that entertains fans at games and events.
-
D.
Michu
Michu is a retired Spanish attacking midfielder and forward best known for his prolific 2012–13 season with Swansea City in the English Premier League.
-
E.
Nala
Nala is a courageous lioness from Disney's "The Lion King," known as Simba's childhood friend and later queen of the Pride Lands.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde704af88190a132626acc99745f |
completed | March 7, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afceaa45e88190a9007885cf7868ef |
completed | March 10, 2026, 7:56 a.m. |
| NEDg | Description generation | batch_69afcf138c00819087913972df96f5ad |
completed | March 10, 2026, 7:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afcf8d0318819088f9abd895f8ba0a |
completed | March 10, 2026, 8 a.m. |
Created at: March 6, 2026, 9:59 p.m.