Triple
T36599913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peyer’s patches |
E902888
|
entity |
| Predicate | macroscopicAppearance |
P133181
|
FINISHED |
| Object | oval or elongated lymphoid aggregates |
—
|
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: oval or elongated lymphoid aggregates | Statement: [Peyer’s patches, macroscopicAppearance, oval or elongated lymphoid aggregates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: macroscopicAppearance Context triple: [Peyer’s patches, macroscopicAppearance, oval or elongated lymphoid aggregates]
-
A.
hasMacroscopicBehavior
Indicates that an entity exhibits observable large-scale properties or behaviors that emerge from its underlying microscopic components.
-
B.
describesAppearanceOf
Indicates that one entity provides information about the visual characteristics or outward look of another entity.
-
C.
segmentAppearance
Indicates how a particular segment is visually or perceptually presented or manifested.
-
D.
hasTypicalAppearance
chosen
Indicates that an entity exhibits the standard or commonly expected visual form or look associated with its kind.
-
E.
crustAppearance
Indicates the visual characteristics or look of a crust as perceived from its outer surface.
- 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_69f76e66b7b88190848f7a3e1188915f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.