Triple
T9516287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rubin Ridge |
E229532
|
entity |
| Predicate | hasObservationType |
P47354
|
FINISHED |
| Object | in situ analysis |
—
|
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: in situ analysis | Statement: [Rubin Ridge, hasObservationType, in situ analysis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasObservationType Context triple: [Rubin Ridge, hasObservationType, in situ analysis]
-
A.
hasObservation
Indicates that an entity records, contains, or is associated with a specific observation or measured instance.
-
B.
hasObservationStructure
Indicates that an entity is associated with, or organized according to, a specific structure or schema used for recording or representing observations.
-
C.
hasObservationFeatures
Indicates that an observation is associated with specific measurable or descriptive features that characterize it.
-
D.
hasObservationDomain
Indicates that one entity is associated with, or belongs to, a specific observation domain within which its observations or measurements are grouped or managed.
-
E.
hasObservationMethod
chosen
Indicates that a particular method, technique, or procedure is used to perform or obtain an observation.
- 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_69ca84777560819084cddd999badc1aa |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd987eefec8190b0db1928776bf02b |
completed | April 1, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cca56a3d088190bdc16670678fb6c6 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:58 p.m.