Triple
T22690197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L01BA04 |
E561030
|
entity |
| Predicate | ATCLevel1Description |
P149270
|
FINISHED |
| Object | Antineoplastic and immunomodulating agents |
—
|
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: Antineoplastic and immunomodulating agents | Statement: [L01BA04, ATCLevel1Description, Antineoplastic and immunomodulating agents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ATCLevel1Description Context triple: [L01BA04, ATCLevel1Description, Antineoplastic and immunomodulating agents]
-
A.
providesATCServiceTo
Indicates that one entity delivers air traffic control services or support to another entity.
-
B.
firstStageDescription
Indicates that the value provides a textual explanation or summary of the initial or earliest stage in a multi-stage process or sequence.
-
C.
level1Feature
Indicates that one entity possesses or is associated with a primary or first-tier feature of another entity.
-
D.
hasATCCode
Indicates that a pharmaceutical product or substance is assigned a specific Anatomical Therapeutic Chemical (ATC) classification code.
-
E.
operatesAtPlane
Indicates that an action or process is carried out or functions at a specific plane or planar level.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789a1fd08190bce5fa0babe695d3 |
completed | April 29, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69ee62b2259c819091ed1387a748b9f3 |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:13 p.m.