Triple
T454499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Historical Records Survey |
E7203
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | HRS |
E7203
|
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: HRS | Statement: [Historical Records Survey, abbreviation, HRS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HRS Context triple: [Historical Records Survey, abbreviation, HRS]
-
A.
HRS
chosen
HRS is an abbreviation commonly used for the Historical Records Survey, a New Deal-era program that documented and preserved historical public records in the United States.
-
B.
HES
HES is the commonly used abbreviation for Historic Environment Scotland, the public body responsible for protecting and promoting Scotland’s historic environment.
-
C.
HCR
HCR is the commonly used abbreviation for the United Nations High Commissioner for Refugees, the UN agency responsible for protecting and supporting refugees worldwide.
-
D.
IHR
IHR refers to the International Health Regulations, a legally binding framework coordinated by the World Health Organization to prevent and respond to the international spread of disease.
-
E.
SHR
SHR is the three-letter National Rail station code assigned to Shrewsbury railway station in Shropshire, England.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef87cc7c8190a0fec933457821e2 |
completed | Feb. 28, 2026, 1:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a44cbdb58481908416ae6b4773e1a7 |
completed | March 1, 2026, 2:27 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.