Triple
T1840801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Cross |
E41171
|
entity |
| Predicate | isSmallestConstellationByArea |
P14659
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Southern Cross, isSmallestConstellationByArea, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSmallestConstellationByArea Context triple: [Southern Cross, isSmallestConstellationByArea, true]
-
A.
isSmallestByAreaIn
chosen
Indicates that an entity has the smallest area among all comparable entities within a specified set, group, or context.
-
B.
areaRankAmongConstellations
Indicates the relative position of a constellation in an ordered list based on its sky area compared to other constellations.
-
C.
typicalConstellationSize
Indicates the usual or characteristic size associated with a given constellation.
-
D.
isSmallestCountryIn
Indicates that a country is the smallest (by a specified measure, typically area) among all countries within a given region or set.
-
E.
isAsterismOf
Indicates that one or more stars collectively form or belong to a specific asterism.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafdb0d2c8190a67f584e67979fa3 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.