Triple
T869205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Local Group |
E18771
|
entity |
| Predicate | hasGalaxyCountUncertain |
P9778
|
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: [Local Group, hasGalaxyCountUncertain, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGalaxyCountUncertain Context triple: [Local Group, hasGalaxyCountUncertain, true]
-
A.
approximateStellarCount
Indicates an estimated or rough number of stars associated with a given astronomical object or region.
-
B.
hasUncertainty
chosen
Indicates that the relationship or value is associated with some level or type of uncertainty rather than being fully definite or precise.
-
C.
numberOfColonies
Indicates the count of distinct colonies associated with or possessed by a given entity.
-
D.
numberOfStarsInConstellation
Indicates the numerical count of stars that belong to a given constellation.
-
E.
hostGalaxy
Indicates the galaxy in which an astronomical object or system is located or with which it is physically associated.
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac811e548190a72b7a10b5ea8665 |
completed | March 1, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69a4aa89ca008190b50d061ac7fe19f9 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.