Triple
T18956881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NGC 6712 |
E463801
|
entity |
| Predicate | massLossHistory |
P67064
|
FINISHED |
| Object | significant due to tidal stripping |
—
|
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: significant due to tidal stripping | Statement: [NGC 6712, massLossHistory, significant due to tidal stripping]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: massLossHistory Context triple: [NGC 6712, massLossHistory, significant due to tidal stripping]
-
A.
massLossRate
Indicates the rate at which an object or system is losing mass over time.
-
B.
hasMassLoss
chosen
Indicates that an entity undergoes a reduction in its mass over time or as a result of some process or interaction.
-
C.
durabilityLossRate
Indicates the rate at which an entity’s durability decreases over time or use.
-
D.
estimatedHistory
Indicates that there is an inferred or approximated record of past states, events, or values associated with an entity or relationship.
-
E.
maximumRecordedMass
Indicates the greatest mass value that has been observed and recorded for an entity within a given context.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5cdf2d08190a0aecd3fa5335a75 |
completed | April 20, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f437648190b85650dae8885d48 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, noon