Triple
T10605666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hormel Foods Corporation |
E275869
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object | HRL |
E98050
|
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: HRL | Statement: [Hormel Foods Corporation, tickerSymbol, HRL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HRL Context triple: [Hormel Foods Corporation, tickerSymbol, HRL]
-
A.
HRL
HRL is the National Rail station code for Harlech railway station in Gwynedd, Wales.
-
B.
HRL
chosen
HRL is a renowned research center known for pioneering work in fields such as microelectronics, information and quantum sciences, and advanced materials.
-
C.
HRLT
HRLT is an acronym commonly used to refer to a Human Rights Liaison Team, typically a specialized group that coordinates and facilitates human rights-related activities within an organization or mission.
-
D.
HRLA
HRLA is a governmental body responsible for overseeing health-related regulation, licensing, and compliance activities.
-
E.
HILR
HILR is a Harvard-affiliated institute that offers peer-led, lifelong learning opportunities for retired and semi-retired adults.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4a5df88190b993196ca7849a88 |
completed | April 8, 2026, 11:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95eb726bc8190a8db7357bd126016 |
completed | April 10, 2026, 8:33 p.m. |
Created at: April 8, 2026, 7:32 p.m.