Triple
T5370933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baltimore waterfront neighborhoods |
E108847
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Highlandtown |
E97253
|
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: Highlandtown | Statement: [Baltimore waterfront neighborhoods, hasPart, Highlandtown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Highlandtown Context triple: [Baltimore waterfront neighborhoods, hasPart, Highlandtown]
-
A.
Rowtown
Rowtown is a residential area in Surrey, England, situated near the town of Addlestone.
-
B.
Marshall Heights
Marshall Heights is a residential neighborhood in Southeast Washington, D.C., known for its hilly terrain, predominantly African American community, and ongoing revitalization efforts.
-
C.
Locust Point
chosen
Locust Point is a historic waterfront neighborhood in Baltimore known for its industrial roots, immigrant history, and views of the Inner Harbor.
-
D.
Eckington
Eckington is a village and civil parish in the county of Derbyshire, England, known for its historic buildings and semi-rural character near the border with South Yorkshire.
-
E.
Eckington
Eckington is a historic residential neighborhood in Washington, D.C., known for its rowhouses, proximity to downtown, and evolving urban character.
- 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd8688b7488190a57baedd52a11b1a |
completed | March 20, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf334ac2548190ad672943ac138373 |
completed | March 22, 2026, 12:09 a.m. |
Created at: March 20, 2026, 2:02 p.m.