Triple
T5508792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glomerellales |
E144509
|
entity |
| Predicate | manyMembersAre |
P65145
|
FINISHED |
| Object | plant pathogens |
—
|
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: plant pathogens | Statement: [Glomerellales, manyMembersAre, plant pathogens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: manyMembersAre Context triple: [Glomerellales, manyMembersAre, plant pathogens]
-
A.
hasMembers
Indicates that a group, organization, or collection includes certain entities as its members.
-
B.
hadNumberOfMembers
Indicates that an entity possessed or was associated with a specific count of members at a given time or in a given context.
-
C.
numberOfFullMembers
Indicates the total count of entities that hold full membership status within a specified group or organization.
-
D.
mostMembersJoined
Indicates that the majority of members in a specified group have become part of, or enrolled in, a particular organization, event, or activity.
-
E.
estimatedMemberCount
Indicates the approximate or predicted number of members associated with an entity.
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f4a80d88190bab0056c4c78be93 |
completed | March 22, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69c01b07bde08190b3933b96bdc70dd5 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f051e508190b3886d87b4afdd0b |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:33 p.m.