Triple
T8717091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centaurus |
E206922
|
entity |
| Predicate | rankedByArea |
P1170
|
FINISHED |
| Object | 9th largest constellation |
—
|
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: 9th largest constellation | Statement: [Centaurus, rankedByArea, 9th largest constellation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankedByArea Context triple: [Centaurus, rankedByArea, 9th largest constellation]
-
A.
areaRank
chosen
Indicates the relative ordering or position of an entity based on the size of its area compared to others.
-
B.
rankInWorldByArea
Indicates the position of an entity in a global ordering based on its total area size.
-
C.
rankedBy
Indicates that one entity is ordered or assigned a position in a hierarchy or list according to criteria determined or applied by another entity.
-
D.
regionRankBySize
Indicates the relative ordering of regions based on their physical size, from largest to smallest (or vice versa).
-
E.
continentRankByArea
Indicates the relative position of a continent in an ordered list based on its total land area.
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5cd9c2a08190a65ab0ce573153d2 |
completed | March 31, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69cc456e806c819087e7d66ee737f242 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:36 p.m.