Triple
T9260513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Sudanese pound |
E222564
|
entity |
| Predicate | symbol |
P129
|
FINISHED |
| Object | SSP |
E787815
|
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: SSP | Statement: [South Sudanese pound, symbol, SSP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SSP Context triple: [South Sudanese pound, symbol, SSP]
-
A.
SSP
SSP is the acronym for the Species Survival Plan, a conservation program coordinated by zoos and aquariums to manage and protect threatened and endangered species in human care.
-
B.
SSP
SSP is a communication protocol used in Serial Attached SCSI (SAS) systems to transport SCSI commands and data between storage devices and controllers.
-
C.
SSP
chosen
SSP is the official currency code for the South Sudanese pound, the legal tender of South Sudan.
-
D.
SSP
SSP is the stock ticker symbol for The E. W. Scripps Company, a major American media enterprise focused on television broadcasting and related digital media.
-
E.
SPS
SPS is the commonly used abbreviation for Seattle Public Schools, the primary public school district serving the city of Seattle, Washington.
- 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_69ca841e4cd481908e738c74e958eaea |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd07160e408190be4bd7b757260a0e |
completed | April 1, 2026, 11:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b1e30c648190a2c6a8c4c6da390c |
completed | April 4, 2026, 6:38 a.m. |
Created at: March 30, 2026, 7:32 p.m.