Triple
T1609598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supreme Court of Pakistan |
E34585
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | SCP |
E149311
|
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: SCP | Statement: [Supreme Court of Pakistan, abbreviation, SCP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SCP Context triple: [Supreme Court of Pakistan, abbreviation, SCP]
-
A.
SCP
SCP is a secure file transfer client that supports encrypted protocols like SFTP and FTPS for safely uploading and managing files on remote servers.
-
B.
SCP
chosen
SCP is the common abbreviation for Sporting Clube de Portugal, a major Lisbon-based sports club best known for its professional football team competing in Portugal’s top division.
-
C.
Area X
Area X is a specialized basal ganglia nucleus in the songbird brain that plays a key role in song learning and vocal motor control.
-
D.
SCS
SCS is Carnegie Mellon University's renowned School of Computer Science, recognized globally for pioneering research and education in computing and related fields.
-
E.
Carrier
Carrier is a leading global brand specializing in heating, ventilation, air conditioning (HVAC), and refrigeration solutions.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa622a84548190a66d45eec70f9b85 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51c2f038819093690bff46056939 |
completed | March 8, 2026, 10:38 a.m. |
Created at: March 4, 2026, 7:28 p.m.