Triple
T6762587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | York County, South Carolina |
E154629
|
entity |
| Predicate | hasPostalAbbreviation |
P43
|
FINISHED |
| Object | SC |
E120087
|
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: SC | Statement: [York County, South Carolina, hasPostalAbbreviation, SC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SC Context triple: [York County, South Carolina, hasPostalAbbreviation, SC]
-
A.
SC
chosen
SC is the standard two-letter postal abbreviation for the U.S. state of South Carolina.
-
B.
SC
SC is the official Indian Railways station code for Secunderabad Junction, a major railway hub in Telangana, India.
-
C.
SC
SC is the vehicle registration code used on license plates for the German town of Schwabach in Bavaria.
-
D.
SC
SC is the vehicle registration code used on license plates for vehicles registered in Częstochowa, a city in southern Poland.
-
E.
SCR
SCR at St Chad’s College refers to the Senior Common Room, the community and social/academic body of the college’s senior members, including fellows and staff.
- 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_69c688109c1c8190added9a221292af0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d21444dc8190a290af86c81e96a5 |
completed | March 27, 2026, 6:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712b6ec408190bd9131f289b02ba7 |
completed | March 27, 2026, 11:28 p.m. |
Created at: March 27, 2026, 2:12 p.m.