Triple
T9315013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Health Service Executive |
E224094
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | HSE |
E791044
|
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: HSE | Statement: [Health Service Executive, abbreviation, HSE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HSE Context triple: [Health Service Executive, abbreviation, HSE]
-
A.
HSE
chosen
HSE is Ireland’s national public health and social care service provider responsible for delivering health services to everyone living in the country.
-
B.
HSE
HSE is a leading Russian research university known for its strong programs in economics, social sciences, and data analysis, with campuses in Moscow and several other major cities.
-
C.
HSEMA
HSEMA is the District of Columbia’s government agency responsible for coordinating homeland security, emergency preparedness, response, and recovery efforts in Washington, D.C.
-
D.
OHSEPR
OHSEPR is a U.S. federal office within the Department of Health and Human Services that coordinates emergency preparedness, response, and recovery efforts for human services programs and vulnerable populations.
-
E.
HESG
HESG is the ICAO airport code assigned to Sohag International Airport in Egypt.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd20b2274481908ddb4eda70cea8cc |
completed | April 1, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e3aa178881909e773e11c3892381 |
completed | April 4, 2026, 10:10 a.m. |
Created at: March 30, 2026, 7:37 p.m.