Triple
T5219610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messier 70 |
E117837
|
entity |
| Predicate | metallicityClass |
P7287
|
FINISHED |
| Object | metal-poor |
—
|
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: metal-poor | Statement: [Messier 70, metallicityClass, metal-poor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metallicityClass Context triple: [Messier 70, metallicityClass, metal-poor]
-
A.
metallicity
chosen
Indicates the proportion of an object's mass that is made up of elements heavier than hydrogen and helium, typically used to describe the chemical richness of stars or galaxies.
-
B.
spectralClass
Indicates the classification of an astronomical object based on the characteristics of its spectrum, such as temperature and spectral features.
-
C.
luminosityClass
Indicates the stellar luminosity classification that specifies a star’s intrinsic brightness and evolutionary stage.
-
D.
stateMetal
Indicates that an entity is in a metallic state or exhibits properties characteristic of a metal.
-
E.
stellarClass
Indicates the spectral classification relationship between a star and its stellar class (e.g., O, B, A, F, G, K, M).
- 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_69bd4465e03081909bfcfd7113062590 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7ab6e63c8190964b2b65a0206134 |
completed | March 20, 2026, 4:49 p.m. |
| PD | Predicate disambiguation | batch_69bd77bd2a448190a9ae5afd2585a7b9 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:48 p.m.