Triple
T19040326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PR3-ANCA |
E465982
|
entity |
| Predicate | antigenLocation |
P133662
|
FINISHED |
| Object | azurophilic granules of neutrophils |
—
|
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: azurophilic granules of neutrophils | Statement: [PR3-ANCA, antigenLocation, azurophilic granules of neutrophils]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: antigenLocation Context triple: [PR3-ANCA, antigenLocation, azurophilic granules of neutrophils]
-
A.
antigen
Indicates that one entity functions as an antigen in relation to another, typically provoking or being recognized by an immune response.
-
B.
antigensExpressedOn
Indicates that specific antigens are present on the surface of a given cell or biological structure.
-
C.
organLocation
Indicates the anatomical location or position of an organ within a body or organism.
-
D.
affectsAnatomicalLocation
Indicates that one entity produces an effect on, or has an impact at, a specific anatomical location.
-
E.
exhibitLocation
Indicates the place or venue where something is displayed, presented, or put on exhibit.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d80054c88190a9d3a49aed504235 |
completed | April 20, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69e4a3001e388190aa6057266514e75a |
completed | April 19, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69e4ad8f6f7c8190af645bf08823ee2b |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 12:02 p.m.