Triple
T5567779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Cross |
E145920
|
entity |
| Predicate | isSmallestOf |
P64837
|
FINISHED |
| Object | 88 modern constellations |
—
|
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: 88 modern constellations | Statement: [Southern Cross, isSmallestOf, 88 modern constellations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSmallestOf Context triple: [Southern Cross, isSmallestOf, 88 modern constellations]
-
A.
isOneOfSmallestLetters
Indicates that the letter is among the smallest (e.g., lowest-ranked or minimal) letters within a specified set or ordering.
-
B.
isMinimumWhen
Indicates that a value or state is at its smallest or least level precisely under certain specified conditions or circumstances.
-
C.
isLargestOf
Indicates that one entity has the greatest size, extent, or magnitude among a specified set of entities.
-
D.
isSmallestRegionOf
Indicates that a region is the smallest subregion that still fully corresponds to or represents a given larger entity or area.
-
E.
isSmallestMeaningfulScaleIn
Indicates that something represents the lowest level of scale within a context at which distinctions or effects are still meaningful or significant.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0203631c881908978d51e99155014 |
completed | March 22, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69c01b12826c8190969a584d0f53aa44 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f4032408190a4f0d2eb21ebd870 |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:36 p.m.