Triple
T5602498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universal Health Services, Inc. |
E147152
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | UHS |
E147152
|
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: UHS | Statement: [Universal Health Services, Inc., hasAbbreviation, UHS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UHS Context triple: [Universal Health Services, Inc., hasAbbreviation, UHS]
-
A.
UHS
chosen
UHS is the stock ticker symbol for Universal Health Services, a major U.S.-based hospital and healthcare services company.
-
B.
UFS
UFS (Unix File System) is a long-standing, robust file system widely used in Unix-like operating systems, particularly BSD variants, for organizing and managing data on disk.
-
C.
U3
U3 is one of the main lines of the Nuremberg U-Bahn rapid transit system in Nuremberg, Germany.
-
D.
U3
U3 is a line of the Berlin U-Bahn rapid transit system serving several districts in the German capital.
-
E.
UH
UH is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
- 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_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020dbd6dc8190ba011876c205754e |
completed | March 22, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d40049881908bf32e4932094c52 |
completed | March 22, 2026, 8:12 p.m. |
Created at: March 22, 2026, 3:39 p.m.