Triple
T38700002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MPS II |
E950113
|
entity |
| Predicate | isRareIn |
P191545
|
FINISHED |
| Object | females |
—
|
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: females | Statement: [MPS II, isRareIn, females]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRareIn Context triple: [MPS II, isRareIn, females]
-
A.
isRareTypeOf
Indicates that one entity is an uncommon or infrequently occurring subtype or category of another entity.
-
B.
isRareDistinction
Indicates that a particular status, achievement, or characteristic is held by very few entities, marking it as an uncommon or exceptional distinction.
-
C.
isEspeciallyObservedIn
Indicates that something is most notably or frequently observed within a particular context, condition, or group compared to others.
-
D.
isLessCommonThan
Indicates that one item occurs, appears, or is observed less frequently than another item.
-
E.
isRelativelyRareName
Indicates that the referenced name occurs infrequently relative to other names in the relevant population or dataset.
- 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_69f76f0124408190bb39c3040734846b |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdfbafbf48190abe38ec0003a6419 |
completed | May 7, 2026, 6:53 p.m. |
Created at: May 3, 2026, 4:33 p.m.