Triple
T3006252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moose Jaw |
E81908
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Friendly City
Friendly City is the nickname of Moose Jaw, a city in Saskatchewan, Canada, highlighting its welcoming and hospitable character.
|
E319469
|
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: Friendly City | Statement: [Moose Jaw, hasNickname, Friendly City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Friendly City Context triple: [Moose Jaw, hasNickname, Friendly City]
-
A.
The Friendly City
The Friendly City is the nickname of Woodstock, Ontario, highlighting its reputation for welcoming residents and a warm small-town atmosphere.
-
B.
City of Friendly People
The "City of Friendly People" is the welcoming nickname for Hogansville, a small, community-oriented city in western Georgia.
-
C.
Clean City
Clean City is a popular nickname for Rajshahi, a major city in western Bangladesh known for its cleanliness and greenery.
-
D.
Scenic City
Scenic City is a popular nickname for Chattanooga, Tennessee, highlighting its picturesque natural surroundings and mountain views.
-
E.
Bell City
Bell City is a nickname for Bristol, Connecticut, historically known for its prominent clock and bell manufacturing industry.
- 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: Friendly City Triple: [Moose Jaw, hasNickname, Friendly City]
Generated description
Friendly City is the nickname of Moose Jaw, a city in Saskatchewan, Canada, highlighting its welcoming and hospitable character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Friendly City Target entity description: Friendly City is the nickname of Moose Jaw, a city in Saskatchewan, Canada, highlighting its welcoming and hospitable character.
-
A.
The Friendly City
The Friendly City is the nickname of Woodstock, Ontario, highlighting its reputation for welcoming residents and a warm small-town atmosphere.
-
B.
City of Friendly People
The "City of Friendly People" is the welcoming nickname for Hogansville, a small, community-oriented city in western Georgia.
-
C.
Clean City
Clean City is a popular nickname for Rajshahi, a major city in western Bangladesh known for its cleanliness and greenery.
-
D.
Scenic City
Scenic City is a popular nickname for Chattanooga, Tennessee, highlighting its picturesque natural surroundings and mountain views.
-
E.
Bell City
Bell City is a nickname for Bristol, Connecticut, historically known for its prominent clock and bell manufacturing industry.
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a48f0888190bdec150dac623851 |
completed | March 8, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e5b35e48190a9319a545d041ccc |
completed | March 11, 2026, 8:56 a.m. |
| NEDg | Description generation | batch_69b12ed522148190b25ad1de42b1604d |
completed | March 11, 2026, 8:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1d65c9550819081e8734cece6ff13 |
completed | March 11, 2026, 8:53 p.m. |
Created at: March 8, 2026, 3 p.m.