Triple
T20491125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DSPH |
E502746
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | DSPH |
—
|
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: DSPH | Statement: [DSPH, acronym, DSPH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DSPH Context triple: [DSPH, acronym, DSPH]
-
A.
DSPH
chosen
DSPH is the commonly used acronym for the Dornsife School of Public Health, an academic institution focused on education and research in public health.
-
B.
DPH
DPH is the Georgia state agency responsible for protecting and improving public health through disease prevention, health promotion, and emergency preparedness programs.
-
C.
DNP
DNP is the commonly used abbreviation for the Division of Nuclear Physics, a professional organization focused on research and advancement in nuclear physics.
-
D.
DSPG
DSPG is a United Kingdom military training institution responsible for educating and training personnel in policing, security, and guarding duties.
-
E.
DPSU
The State Border Guard Service of Ukraine (DPSU) is the national law enforcement agency responsible for protecting and controlling Ukraine’s state borders and border crossings.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cb8e7848190a1dc497a10ae798c |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.