Triple
T10426209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HVRSD |
E245795
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | HVRSD |
E245795
|
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: HVRSD | Statement: [HVRSD, hasAbbreviation, HVRSD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HVRSD Context triple: [HVRSD, hasAbbreviation, HVRSD]
-
A.
HVRSD
chosen
HVRSD is a public school district serving the Hopewell Valley region in New Jersey, encompassing multiple schools from elementary through high school.
-
B.
VHR
VHR is the official abbreviation for the Victorian Heritage Register, the statutory list of places and objects of cultural heritage significance in the Australian state of Victoria.
-
C.
VRS
VRS is the acronym for the Army of Republika Srpska, the Bosnian Serb military force active during the Bosnian War in the 1990s.
-
D.
HVF
HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
-
E.
VRR
VRR is the public transport association that coordinates and manages the integrated ticketing and fare system for much of the Rhine-Ruhr metropolitan region in Germany.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea48cb348190ad4432f263300592 |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fc2b50b48190b1d5b29d19a240c2 |
completed | April 9, 2026, 7:21 p.m. |
Created at: April 6, 2026, 12:12 p.m.