Triple
T15750903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brother |
E381839
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | DCP |
unclear NED1
|
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: DCP | Statement: [Brother, hasBrand, DCP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DCP Context triple: [Brother, hasBrand, DCP]
-
A.
DCP
DCP is the New York City agency responsible for guiding land use, zoning, and long-term urban planning across the five boroughs.
-
B.
DCP
DCP is the commonly used acronym for the American Physical Society's Division of Chemical Physics, which focuses on research at the interface of chemistry and physics.
-
C.
DCG
DCG is the Dental College of Georgia, a dental school that provides education, research, and clinical services in dentistry.
-
D.
DTCP
DTCP is the acronym for the U.S. State Department’s Office of Defense Trade Controls Policy, which oversees and formulates policies governing the export of defense-related articles and services.
-
E.
DLP
DLP is a music producer known for working on projects such as the release "The Meth Lab."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05030e31081908c307a8dc7067db4 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff876d48588190afec7722cca25633 |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 4:47 a.m.