Triple
T6265815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Drug Facility |
E140410
|
entity |
| Predicate | productTypeSupplied |
P17063
|
FINISHED |
| Object | anti-tuberculosis medicines |
—
|
LITERAL 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: anti-tuberculosis medicines | Statement: [Global Drug Facility, productTypeSupplied, anti-tuberculosis medicines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productTypeSupplied Context triple: [Global Drug Facility, productTypeSupplied, anti-tuberculosis medicines]
-
A.
productTypeEvaluated
Indicates that an entity’s product type has been assessed or judged according to certain criteria or standards.
-
B.
suppliesTo
chosen
Indicates that one entity provides or delivers goods, services, or resources to another entity.
-
C.
appliesToProductType
Indicates that something (such as a rule, offer, or condition) is relevant or applicable specifically to a certain type or category of product.
-
D.
productTypeWorkedOn
Indicates that an entity has worked on or been involved in creating, developing, or handling a particular type of product.
-
E.
componentTypeProduced
Indicates that one entity produces or manufactures a specific type of component as an output of its activity or process.
- F. None of above.
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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0639e64588190875e4e1e772fb336 |
completed | March 22, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69c05606fb50819082d1a5a91e5030b6 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:25 p.m.