Triple
T2081223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USNS Sally Ride (T-AGOR-28) |
E45245
|
entity |
| Predicate | hasEmbarkedPersonnel |
P35658
|
FINISHED |
| Object | scientists |
—
|
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: scientists | Statement: [USNS Sally Ride (T-AGOR-28), hasEmbarkedPersonnel, scientists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEmbarkedPersonnel Context triple: [USNS Sally Ride (T-AGOR-28), hasEmbarkedPersonnel, scientists]
-
A.
hasCrewCapacity
Indicates that an entity is capable of accommodating a specified number of crew members.
-
B.
isPermanentlyCrewed
Indicates that an object, such as a facility or vehicle, consistently has a crew present on a continuous, ongoing basis without planned periods of being uncrewed.
-
C.
hasPassengerRole
Indicates that an entity participates in a context or event specifically in the capacity or role of a passenger.
-
D.
hasFirstAircraftOverflightExpedition
Indicates that an entity is associated with the earliest expedition during which an aircraft first flew over a specified area or target.
-
E.
hasCustomsAndImmigration
Indicates that customs and immigration control services are present or provided at a given location or facility.
- 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_69a8891869c88190a02643e3bb746f59 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba35c2588190933dba882f52dd17 |
completed | March 7, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69abb7b298a48190b4bdf7c9800b058d |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb94ec400819097596732aabed854 |
completed | March 7, 2026, 5:36 a.m. |
Created at: March 4, 2026, 7:41 p.m.