Triple
T3063609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pennsport |
E62052
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Queen Village |
E63053
|
NE FINISHED |
How this triple was built (2 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: Queen Village | Statement: [Pennsport, adjacentTo, Queen Village]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queen Village Context triple: [Pennsport, adjacentTo, Queen Village]
-
A.
Queen Village neighborhood
chosen
Queen Village is a historic, upscale residential neighborhood in South Philadelphia known for its cobblestone streets, rowhomes, and vibrant dining and shopping scene.
-
B.
North Heywood
North Heywood is a residential and suburban area within the town of Heywood in Greater Manchester, England.
-
C.
Morningside
Morningside is a residential neighbourhood in the eastern Toronto district of Scarborough, known for its suburban character and proximity to parks and ravines.
-
D.
Morningside
Morningside is a prosperous, largely residential district in the south of Edinburgh, known for its Victorian architecture, independent shops, and café culture.
-
E.
Morningside Heights
Morningside Heights is a New York City neighborhood known for its concentration of major academic and religious institutions, including Columbia University and the Cathedral of St. John the Divine.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9ea088fc819090b9d5bbcb268671 |
completed | March 8, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ef118cb48190a1f666ead7c19a12 |
completed | March 11, 2026, 10:39 p.m. |
Created at: March 8, 2026, 3:02 p.m.