Triple
T18906136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herbalife Ltd. |
E462467
|
entity |
| Predicate | hasStockTicker |
P1447
|
FINISHED |
| Object | HLF |
—
|
NE NERFINISHED |
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: HLF | Statement: [Herbalife Ltd., hasStockTicker, HLF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HLF Context triple: [Herbalife Ltd., hasStockTicker, HLF]
-
A.
HLF
chosen
HLF is the stock ticker symbol for Herbalife, a global multi-level marketing company that sells nutritional supplements and personal care products.
-
B.
HLU
HLU is the National Rail station code for Helensburgh Upper railway station in Argyll and Bute, Scotland.
-
C.
HOL
HOL is the commonly used abbreviation for the Hall of Languages, a historic academic building on the Syracuse University campus.
-
D.
HLC
HLC is the three-letter National Rail station code for Helensburgh Central railway station in Scotland.
-
E.
HLC
HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52cc9cc8190ac489d36e51693c8 |
completed | April 20, 2026, 6:18 a.m. |
Created at: April 10, 2026, 11:58 a.m.