Triple
T5075156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messier 55 |
E114375
|
entity |
| Predicate | metallicityFeH |
P7287
|
FINISHED |
| Object | about −1.9 |
—
|
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: about −1.9 | Statement: [Messier 55, metallicityFeH, about −1.9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metallicityFeH Context triple: [Messier 55, metallicityFeH, about −1.9]
-
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.
hostStarMetallicityEffect
Indicates how the metallicity (elemental composition) of a host star influences the properties, formation, or occurrence of its orbiting planets.
-
C.
fractionHydrogenByMass
Indicates the proportion of an entity’s total mass that is contributed by hydrogen.
-
D.
fractionHeliumByMass
Indicates the proportion of an entity’s total mass that is made up of helium.
-
E.
hydrogenContent
Indicates the amount or proportion of hydrogen present in a given substance, material, or system.
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74d2243481908c1ae62f7123c4e9 |
completed | March 20, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69bd7157fe608190b4515d56fdd0a616 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:39 p.m.