Triple
T7929215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NHSL |
E184143
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | NHSL |
E184143
|
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: NHSL | Statement: [NHSL, hasAbbreviation, NHSL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NHSL Context triple: [NHSL, hasAbbreviation, NHSL]
-
A.
NHSL
chosen
NHSL is a rapid transit line in the Philadelphia suburbs, operated by SEPTA between 69th Street Transportation Center and Norristown.
-
B.
NHCL
NHCL is the abbreviation for the U.S. National Historic Chemical Landmark program, which recognizes and commemorates significant achievements in the history of chemistry.
-
C.
NHNN
NHNN is the Vietnamese abbreviation for the State Bank of Vietnam, the country’s central bank responsible for monetary policy and financial regulation.
-
D.
NHNN
NHNN is a leading UK specialist hospital dedicated to the diagnosis, treatment, and research of neurological and neurosurgical conditions.
-
E.
NHAS
NHAS is the United States’ comprehensive national framework for coordinating efforts to prevent, treat, and reduce the impact of HIV/AIDS.
- 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3acb6cb88190b4f31b7091881241 |
completed | March 31, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c01602081908ea1af24785260ff |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:07 p.m.