Triple
T10239313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai Sharks |
E243545
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | SHS |
E243545
|
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: SHS | Statement: [Shanghai Sharks, hasAbbreviation, SHS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SHS Context triple: [Shanghai Sharks, hasAbbreviation, SHS]
-
A.
SHS
SHS is the abbreviation commonly used for the Florida State Highway System, the network of state-maintained roads in Florida.
-
B.
SHS
chosen
SHS is the commonly used abbreviation for the Shanghai Sharks, a professional basketball team based in Shanghai, China.
-
C.
SHS Department
SHS Department is an academic unit focused on the study, assessment, and treatment of speech, language, and hearing disorders.
-
D.
HSH
HSH is the formal abbreviation used to address or refer to a person holding the noble style "His Serene Highness."
-
E.
HS
HS is an internationally standardized system of names and numbers used to classify traded products for customs and statistical purposes.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d21ca3008190bfbde4074b37592d |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d74fe436d48190b889ccf5884d1bb7 |
completed | April 9, 2026, 7:06 a.m. |
Created at: April 6, 2026, 11:23 a.m.