Triple
T17041949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GOBE |
E413465
|
entity |
| Predicate | majorlyInvolves |
P100161
|
FINISHED |
| Object | brachiopods |
—
|
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: brachiopods | Statement: [GOBE, majorlyInvolves, brachiopods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorlyInvolves Context triple: [GOBE, majorlyInvolves, brachiopods]
-
A.
involves
Indicates that an entity participates in, is a part of, or is implicated within a particular event, process, or relationship.
-
B.
primarilyEncompasses
chosen
Indicates that one entity mainly or predominantly includes, covers, or consists of another entity or set of entities.
-
C.
majorSegmentOf
Indicates that one entity constitutes a principal or most significant part of another larger whole.
-
D.
majorFor
Indicates that an academic program, field of study, or specialization is the primary major associated with a particular student or degree.
-
E.
oftenInvolvedWith
Indicates that one entity frequently participates in or is commonly associated with activities, events, or situations involving another entity.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f771608190b596138ddec118c6 |
completed | April 18, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.