Triple
T11336930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SHCP |
E268493
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | SHCP |
E268493
|
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: SHCP | Statement: [SHCP, acronym, SHCP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SHCP Context triple: [SHCP, acronym, SHCP]
-
A.
SHCP
chosen
SHCP is the commonly used acronym for Mexico’s Secretariat of Finance and Public Credit, the federal government body responsible for managing national fiscal and economic policy.
-
B.
SCJ
SCJ is the abbreviation for the School of Criminal Justice at the University at Albany, State University of New York, a leading institution for research and education in criminal justice and criminology.
-
C.
SCJ
SCJ is the commonly used abbreviation for the Supreme Court of Japan, the country's highest judicial authority.
-
D.
SCHA
SCHA is the ICAO airport code for Copiapó Airport, a regional airport serving the city of Copiapó in northern Chile.
-
E.
SCHA
SCHA is the stock ticker symbol under which Schibsted, a Nordic media and online marketplace company, is traded on financial markets.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea008b5081908e6c6c6fc29ef936 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5263cce588190a91f91cbdf023d5e |
completed | April 19, 2026, 7 p.m. |
Created at: April 8, 2026, 9:33 p.m.