Triple
T6003440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cymbalta |
E133649
|
entity |
| Predicate | hasIndicationPopulation |
P68635
|
FINISHED |
| Object | adults |
—
|
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: adults | Statement: [Cymbalta, hasIndicationPopulation, adults]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndicationPopulation Context triple: [Cymbalta, hasIndicationPopulation, adults]
-
A.
hasPopulationStatus
Indicates the current demographic condition or classification of a population associated with an entity.
-
B.
hasPopulationType
Indicates that an entity’s population is classified according to a specific type or category (e.g., demographic, biological, or statistical grouping).
-
C.
hasIndication
Indicates that one entity (typically a product, treatment, or intervention) is intended, approved, or suitable for use in addressing, preventing, or managing a particular condition, purpose, or circumstance.
-
D.
hasServiceAreaPopulation
Indicates that an entity has a service area characterized by a specific population size or count.
-
E.
supportsPopulation
Indicates that one entity provides the necessary conditions or resources for a population of another entity to exist, persist, or thrive.
- F. None of above. chosen
Provenance (4 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f0f63148190826198281dce3713 |
completed | March 22, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69c049e3316c819087ea635fa7ee8472 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8c5bfc8190b986a7071d1b23e3 |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:06 p.m.