Triple
T28754158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Sepúlveda |
E731619
|
entity |
| Predicate | numberOfPeopleInGroup |
P31691
|
FINISHED |
| Object | 33 |
—
|
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: 33 | Statement: [Mario Sepúlveda, numberOfPeopleInGroup, 33]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPeopleInGroup Context triple: [Mario Sepúlveda, numberOfPeopleInGroup, 33]
-
A.
numberOfPersons
Indicates the total count of individual persons associated with or involved in a given entity, event, or context.
-
B.
peopleCountDescriptor
Indicates how the number of people involved in a situation, group, or context is characterized or described.
-
C.
numberOfGroupMembers
chosen
Indicates the total count of individual members that belong to a specified group.
-
D.
numberOfGroup
Indicates the total count of groups associated with or contained by a given entity.
-
E.
typicalGroupSize
Indicates the usual or characteristic number of individuals that typically form a group in this context.
- 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_69f043ed68a881909e858a06bab7a247 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69ff891e4b9c8190aa86a339a8944496 |
completed | May 9, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69ff8801180c8190b23e20996ca68e0a |
completed | May 9, 2026, 7:16 p.m. |
Created at: April 28, 2026, 6:08 a.m.