Triple
T1448384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shelby, North Carolina |
E31226
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object |
Hanna Park
Hanna Park is a public recreational park located in Shelby, North Carolina.
|
E167148
|
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: Hanna Park | Statement: [Shelby, North Carolina, hasPark, Hanna Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanna Park Context triple: [Shelby, North Carolina, hasPark, Hanna Park]
-
A.
Daewangam Park
Daewangam Park is a coastal park in Ulsan, South Korea, known for its dramatic seaside cliffs, pine forest trails, and views of the Daewangam Rock formation.
-
B.
Haga Park
Haga Park is a historic royal park in the Stockholm area known for its landscaped grounds, cultural heritage sites, and recreational green spaces.
-
C.
PPL Park
PPL Park is a soccer-specific stadium in Chester, Pennsylvania, that originally served as the home venue for Major League Soccer’s Philadelphia Union.
-
D.
Longtan Park
Longtan Park is a scenic urban park and popular leisure destination in Liuzhou, China, known for its lush greenery, lakes, and walking paths.
-
E.
Ulsan Grand Park
Ulsan Grand Park is a large urban green space in Ulsan, South Korea, featuring extensive walking trails, recreational facilities, and seasonal flower displays.
- 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: Hanna Park Triple: [Shelby, North Carolina, hasPark, Hanna Park]
Generated description
Hanna Park is a public recreational park located in Shelby, North Carolina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hanna Park Target entity description: Hanna Park is a public recreational park located in Shelby, North Carolina.
-
A.
Daewangam Park
Daewangam Park is a coastal park in Ulsan, South Korea, known for its dramatic seaside cliffs, pine forest trails, and views of the Daewangam Rock formation.
-
B.
Haga Park
Haga Park is a historic royal park in the Stockholm area known for its landscaped grounds, cultural heritage sites, and recreational green spaces.
-
C.
PPL Park
PPL Park is a soccer-specific stadium in Chester, Pennsylvania, that originally served as the home venue for Major League Soccer’s Philadelphia Union.
-
D.
Longtan Park
Longtan Park is a scenic urban park and popular leisure destination in Liuzhou, China, known for its lush greenery, lakes, and walking paths.
-
E.
Ulsan Grand Park
Ulsan Grand Park is a large urban green space in Ulsan, South Korea, featuring extensive walking trails, recreational facilities, and seasonal flower displays.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c55aa7dc8190aa7452d80ec8305e |
completed | March 1, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0e70103081908b958acc6873d974 |
completed | March 8, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69ad0f1e27288190a25d26a038883529 |
completed | March 8, 2026, 5:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad0f90cdec81908a981e12184cdd75 |
completed | March 8, 2026, 5:56 a.m. |
Created at: March 1, 2026, 8 p.m.