Triple
T2627469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mossley |
E59151
|
entity |
| Predicate | footballClubStadium |
P890
|
FINISHED |
| Object |
Seel Park
Seel Park is a football stadium in Mossley, England, serving as the home ground of Mossley A.F.C.
|
E283535
|
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: Seel Park | Statement: [Mossley, footballClubStadium, Seel Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seel Park Context triple: [Mossley, footballClubStadium, Seel Park]
-
A.
Hanna Park
Hanna Park is a public recreational park located in Shelby, North Carolina.
-
B.
Goar Park
Goar Park is a public green space located in the city of University Park, Texas, offering recreational areas and community amenities for local residents.
-
C.
Kalorama Park
Kalorama Park is a neighborhood green space in Washington, D.C., known for its playgrounds, recreation areas, and role as a community gathering spot in the Kalorama area.
-
D.
Syon Park
Syon Park is a historic estate in west London known for its grand house, extensive gardens, and riverside parkland along the Thames.
-
E.
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.
- 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: Seel Park Triple: [Mossley, footballClubStadium, Seel Park]
Generated description
Seel Park is a football stadium in Mossley, England, serving as the home ground of Mossley A.F.C.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seel Park Target entity description: Seel Park is a football stadium in Mossley, England, serving as the home ground of Mossley A.F.C.
-
A.
Hanna Park
Hanna Park is a public recreational park located in Shelby, North Carolina.
-
B.
Goar Park
Goar Park is a public green space located in the city of University Park, Texas, offering recreational areas and community amenities for local residents.
-
C.
Kalorama Park
Kalorama Park is a neighborhood green space in Washington, D.C., known for its playgrounds, recreation areas, and role as a community gathering spot in the Kalorama area.
-
D.
Syon Park
Syon Park is a historic estate in west London known for its grand house, extensive gardens, and riverside parkland along the Thames.
-
E.
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.
- 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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8b3f72c819085e88f1d74495593 |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af90a06c4c81908cc4dca65f2190bd |
completed | March 10, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69af92089ef48190bcc31106e98e3cdf |
completed | March 10, 2026, 3:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af927bb1d0819081ab11eb4470e28d |
completed | March 10, 2026, 3:39 a.m. |
Created at: March 6, 2026, 9:50 p.m.