Triple
T10105147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | US-DC |
E216298
|
entity |
| Predicate | formatExample |
P12958
|
FINISHED |
| Object | US-DC |
E216298
|
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: US-DC | Statement: [US-DC, formatExample, US-DC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: US-DC Context triple: [US-DC, formatExample, US-DC]
-
A.
US-DC
chosen
US-DC is the ISO 3166-2 code representing the District of Columbia, the federal district containing the capital city of the United States, Washington, D.C.
-
B.
DC.
DC. is the standard botanical author abbreviation for Augustin Pyramus de Candolle, a prominent Swiss botanist known for his influential work in plant taxonomy.
-
C.
Washington, United States
Washington, United States is a state in the Pacific Northwest region known for its diverse landscapes, technology industry centered around Seattle, and significant cultural and economic influence.
-
D.
US
US is the commonly used abbreviation for the University of Szczecin, a public higher education institution in Szczecin, Poland.
-
E.
US
US is the IATA airline designator code assigned to the former American airline US Airways.
- 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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd09dde888190bb550a3cd0b204fe |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cbf9ffb88190a87833d6fe080950 |
completed | April 5, 2026, 8:54 p.m. |
Created at: March 30, 2026, 9:03 p.m.