Triple
T1998071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cetacea |
E43401
|
entity |
| Predicate | largestMember |
P4495
|
FINISHED |
| Object | blue whale |
—
|
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: blue whale | Statement: [Cetacea, largestMember, blue whale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestMember Context triple: [Cetacea, largestMember, blue whale]
-
A.
mostMembersJoined
Indicates that the majority of members in a specified group have become part of, or enrolled in, a particular organization, event, or activity.
-
B.
isLargestOf
chosen
Indicates that one entity has the greatest size, extent, or magnitude among a specified set of entities.
-
C.
memberCountAtPeak
Indicates the highest number of members that an entity (such as a group or organization) has had at any point in time.
-
D.
areLargestGroupIn
Indicates that one group is the biggest or most numerous among all groups within a specified context or set.
-
E.
largestDelegationFrom
Indicates that one entity has the largest delegation originating from another entity, compared to all other delegations from that source.
- 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_69a88715dbbc8190b2299e29e955d997 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb91055d88190a980e7b42e5895d4 |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb79c97d48190b3147430ed39faa9 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:37 p.m.