Triple
T9017127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eckington |
E215620
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | NoMa |
E139857
|
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: NoMa | Statement: [Eckington, adjacentTo, NoMa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NoMa Context triple: [Eckington, adjacentTo, NoMa]
-
A.
NoMa
chosen
NoMa is a rapidly developing neighborhood in Washington, D.C., known for its mixed-use developments, modern office buildings, and proximity to downtown.
-
B.
NoMA
NoMA is the Norwegian Medicines Agency, the national authority responsible for regulating, approving, and monitoring medicines and medical devices in Norway.
-
C.
Denver
"Denver" is an album by the American rock band The Howling Hex, known for their experimental, lo-fi blend of rock, blues, and psychedelic influences.
-
D.
Denver
Denver is a small village and civil parish in Norfolk, England, known for its historic drainage works and rural setting near the town of Downham Market.
-
E.
Denver
Denver is a central character in Toni Morrison’s novel "Beloved," portrayed as Sethe’s introspective and resilient daughter who struggles with isolation and the legacy of slavery.
- 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_69ca83a38aa88190bf1bb80c4548b5e2 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69fd2a888190a20bf18cd226a180 |
completed | April 1, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbabd6108190aa2f3c6f59d7999c |
completed | April 3, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:06 p.m.