Triple
T15371928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meyersdale, Pennsylvania |
E367568
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Maple City
Maple City is the nickname of Meyersdale, Pennsylvania, a town known for its maple syrup production and annual maple festival.
|
E1152453
|
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: Maple City | Statement: [Meyersdale, Pennsylvania, hasNickname, Maple City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maple City Context triple: [Meyersdale, Pennsylvania, hasNickname, Maple City]
-
A.
Southwoods City
Southwoods City is a large mixed-use township development in the Philippines featuring residential, commercial, and leisure components.
-
B.
Rivertown
Rivertown is a historic-themed district in Kenner, Louisiana, featuring museums, cultural attractions, and riverfront entertainment.
-
C.
Città Beland
Città Beland is a historical title referring to the Maltese town of Żejtun, known for its rich cultural heritage and traditional architecture.
-
D.
Maplewood
Maplewood is a small rural village located on Wisconsin’s scenic Door Peninsula.
-
E.
Heartlake City
Heartlake City is the vibrant, central setting of the LEGO Friends franchise, depicted as a colorful town where the main characters live, study, and share adventures.
- 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: Maple City Triple: [Meyersdale, Pennsylvania, hasNickname, Maple City]
Generated description
Maple City is the nickname of Meyersdale, Pennsylvania, a town known for its maple syrup production and annual maple festival.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maple City Target entity description: Maple City is the nickname of Meyersdale, Pennsylvania, a town known for its maple syrup production and annual maple festival.
-
A.
Southwoods City
Southwoods City is a large mixed-use township development in the Philippines featuring residential, commercial, and leisure components.
-
B.
Rivertown
Rivertown is a historic-themed district in Kenner, Louisiana, featuring museums, cultural attractions, and riverfront entertainment.
-
C.
Città Beland
Città Beland is a historical title referring to the Maltese town of Żejtun, known for its rich cultural heritage and traditional architecture.
-
D.
Maplewood
Maplewood is a small rural village located on Wisconsin’s scenic Door Peninsula.
-
E.
Heartlake City
Heartlake City is the vibrant, central setting of the LEGO Friends franchise, depicted as a colorful town where the main characters live, study, and share adventures.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e5c1d548190930bfaf0861595ae |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b528f408190b66d3d6e10e90a43 |
completed | May 9, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69ff0bc7dfe48190a05c2b826c7fd35c |
completed | May 9, 2026, 10:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff0c51c6c081908943ddb409655ed6 |
completed | May 9, 2026, 10:28 a.m. |
Created at: April 10, 2026, 3:18 a.m.