Triple
T14914985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Hospitality Administration |
E371358
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | SHA |
E371358
|
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: SHA | Statement: [School of Hospitality Administration, abbreviation, SHA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SHA Context triple: [School of Hospitality Administration, abbreviation, SHA]
-
A.
SHA
SHA is the IATA airport code for Shanghai Hongqiao International Airport, a major domestic and regional aviation hub serving Shanghai, China.
-
B.
SHA
chosen
SHA is the commonly used abbreviation for the School of Hospitality Administration, an academic institution focused on hospitality and related fields.
-
C.
SHA
SHA is the vehicle registration code for the German district of Schwäbisch Hall in the state of Baden-Württemberg.
-
D.
SHA
SHA is the commonly used abbreviation for the Maryland State Highway Administration, the state agency responsible for planning, building, and maintaining Maryland’s state highway system.
-
E.
SSHHA
SSHHA is a musical project or band connected to English rock drummer Zak Starkey, known for his work with acts like The Who and Oasis.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded61f1d488190995f847f84d72cdc |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72bd18148190ab28744678c22993 |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:27 a.m.