Triple
T23906584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LGS 3 |
E601214
|
entity |
| Predicate | hasSparse |
P154040
|
FINISHED |
| Object | stellar population |
—
|
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: stellar population | Statement: [LGS 3, hasSparse, stellar population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSparse Context triple: [LGS 3, hasSparse, stellar population]
-
A.
usesSparseInstrumentation
Indicates that an entity performs monitoring or data collection with minimal or selectively placed instrumentation rather than comprehensive coverage.
-
B.
hasSpaceIn
Indicates that one entity occupies or is contained within a physical or conceptual space provided by another entity.
-
C.
hasSplit
Indicates that an entity has undergone a division into two or more distinct parts, groups, or components.
-
D.
hasMultiple
Indicates that an entity is associated with more than one instance or occurrence of another related entity.
-
E.
isCompact
Indicates that an object or space has a small, efficiently arranged size or volume relative to its function or contents.
- F. None of above. chosen
Provenance (4 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_69e295364a488190bcac702e9bb7f764 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ce91144c8190b894e25a45dfd7c9 |
completed | April 29, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f167dca3608190ace9d2eef56b2af6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 8:35 p.m.