Triple
T12514713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GNU As |
E299165
|
entity |
| Predicate | supportsTarget |
P5090
|
FINISHED |
| Object | PRU |
E74088
|
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: PRU | Statement: [GNU As, supportsTarget, PRU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PRU Context triple: [GNU As, supportsTarget, PRU]
-
A.
PRU
chosen
PRU is the stock ticker symbol for Prudential Financial, a major U.S.-based financial services and insurance company.
-
B.
PR-2
PR-2 is a major highway in Puerto Rico that runs along much of the island’s northern and western coasts, connecting several key cities and regions.
-
C.
PRR
PRR is the abbreviation commonly used for the Pennsylvania Railroad Company, once one of the largest and most influential railroads in the United States.
-
D.
PRR
PRR is a set of UK financial regulations governing the content and approval of prospectuses for securities offerings to protect investors and ensure market transparency.
-
E.
LKPR
LKPR is the ICAO airport code for Václav Havel Airport Prague, the main international airport serving Prague and the Czech Republic.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541e752c8190bf12d2b5a37b53df |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bbd58b88190baeb99380babf64f |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.