Triple
T22004528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District of Columbia neighborhoods |
E543416
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Takoma |
—
|
NE NERFINISHED |
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: Takoma | Statement: [District of Columbia neighborhoods, hasPart, Takoma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takoma Context triple: [District of Columbia neighborhoods, hasPart, Takoma]
-
A.
Takoma
chosen
Takoma is the namesake area whose name was adopted by the city of Takoma Park, Maryland.
-
B.
Lanham
Lanham is an unincorporated community in Prince George's County, Maryland, located in the suburban Washington, D.C. metropolitan area.
-
C.
Hairston
Hairston is a surname of Scottish and English origin that has been borne by several notable American families, including academics, politicians, and landowners.
-
D.
Takoma Park, Maryland
Takoma Park, Maryland is a small, progressive city in the Washington, D.C. metropolitan area known for its activism, diverse community, and historic residential neighborhoods.
-
E.
Gardno
Gardno is a lake in northern Poland, situated in the Pomeranian Voivodeship near the Baltic Sea coast.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1276d81e4819083a40e51249e7fd7 |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:20 p.m.