Triple
T1571666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida State Highway System |
E33553
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
SHS
SHS is the abbreviation commonly used for the Florida State Highway System, the network of state-maintained roads in Florida.
|
E179264
|
NE FINISHED |
How this triple was built (4 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: [Florida State Highway System, shortName, SHS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SHS Context triple: [Florida State Highway System, shortName, SHS]
-
A.
SVHS
SVHS is a public high school in French Lick, Indiana, serving students in the Springs Valley School Corporation.
-
B.
BHS
BHS is a critical scholarly edition of the Hebrew Bible widely used in academic biblical studies and textual research.
-
C.
HSS
HSS (Home Subscriber Server) is a core network database in IP Multimedia Subsystem (IMS) architectures that manages user identities, subscription profiles, and authentication for telecom services.
-
D.
SHASS
SHASS is the abbreviated name commonly used for the School of Humanities, Arts, and Social Sciences at academic institutions.
-
E.
SBHS
SBHS is a selective public boys' high school in Sydney, Australia, known for its strong academic performance and rich co-curricular traditions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SHS Triple: [Florida State Highway System, shortName, SHS]
Generated description
SHS is the abbreviation commonly used for the Florida State Highway System, the network of state-maintained roads in Florida.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SHS Target entity description: SHS is the abbreviation commonly used for the Florida State Highway System, the network of state-maintained roads in Florida.
-
A.
SVHS
SVHS is a public high school in French Lick, Indiana, serving students in the Springs Valley School Corporation.
-
B.
BHS
BHS is a critical scholarly edition of the Hebrew Bible widely used in academic biblical studies and textual research.
-
C.
HSS
HSS (Home Subscriber Server) is a core network database in IP Multimedia Subsystem (IMS) architectures that manages user identities, subscription profiles, and authentication for telecom services.
-
D.
SHASS
SHASS is the abbreviated name commonly used for the School of Humanities, Arts, and Social Sciences at academic institutions.
-
E.
SBHS
SBHS is a selective public boys' high school in Sydney, Australia, known for its strong academic performance and rich co-curricular traditions.
- F. None of above. chosen
Provenance (5 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908ba6a4081909f75faf470c53d86 |
completed | March 5, 2026, 4:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad40263ef08190a968f6c822b5d483 |
completed | March 8, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_69ad40cb84d081908c6e1651989de716 |
completed | March 8, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad41b1192c81909b89013d8296fd22 |
completed | March 8, 2026, 9:30 a.m. |
Created at: March 4, 2026, 7:27 p.m.