Triple
T2851789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SeaTac |
E63107
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Normandy Park
Normandy Park is a small suburban city in King County, Washington, known for its quiet residential neighborhoods and Puget Sound shoreline.
|
E303677
|
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: Normandy Park | Statement: [SeaTac, borderedBy, Normandy Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Normandy Park Context triple: [SeaTac, borderedBy, Normandy Park]
-
A.
Normandie Park
Normandie Park is a neighborhood park in Central Los Angeles that provides local residents with green space and recreational facilities.
-
B.
Normandy Oaks Park
Normandy Oaks Park is a community recreation area in Royal Oak, Michigan, featuring open green space, sports facilities, and family-friendly amenities.
-
C.
Courtland Park
Courtland Park is a public recreational park located in Reidsville, North Carolina.
-
D.
Alexander Park
Alexander Park is a historic public park in Pushkin, Saint Petersburg, known for its landscaped grounds, pavilions, and proximity to the former imperial residences of Tsarskoye Selo.
-
E.
West Park
West Park is a section of Staten Island’s Freshkills Park, a large-scale New York City park being developed on a former landfill site.
- 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: Normandy Park Triple: [SeaTac, borderedBy, Normandy Park]
Generated description
Normandy Park is a small suburban city in King County, Washington, known for its quiet residential neighborhoods and Puget Sound shoreline.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Normandy Park Target entity description: Normandy Park is a small suburban city in King County, Washington, known for its quiet residential neighborhoods and Puget Sound shoreline.
-
A.
Normandie Park
Normandie Park is a neighborhood park in Central Los Angeles that provides local residents with green space and recreational facilities.
-
B.
Normandy Oaks Park
Normandy Oaks Park is a community recreation area in Royal Oak, Michigan, featuring open green space, sports facilities, and family-friendly amenities.
-
C.
Courtland Park
Courtland Park is a public recreational park located in Reidsville, North Carolina.
-
D.
Alexander Park
Alexander Park is a historic public park in Pushkin, Saint Petersburg, known for its landscaped grounds, pavilions, and proximity to the former imperial residences of Tsarskoye Selo.
-
E.
West Park
West Park is a section of Staten Island’s Freshkills Park, a large-scale New York City park being developed on a former landfill site.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf5ca2648190bd32c6ec4b0dd3b6 |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8e4e0b881908de5c4927609725e |
completed | March 10, 2026, 9:48 a.m. |
| NEDg | Description generation | batch_69afe98243508190837853fa2c08e44a |
completed | March 10, 2026, 9:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b008b519bc81908768fba43c5c8d5e |
completed | March 10, 2026, 12:04 p.m. |
Created at: March 6, 2026, 10:02 p.m.