Triple
T3200296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RV Thomas G. Thompson |
E67032
|
entity |
| Predicate | UNOLSStatus |
P46093
|
FINISHED |
| Object | UNOLS fleet vessel |
—
|
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: UNOLS fleet vessel | Statement: [RV Thomas G. Thompson, UNOLSStatus, UNOLS fleet vessel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UNOLSStatus Context triple: [RV Thomas G. Thompson, UNOLSStatus, UNOLS fleet vessel]
-
A.
hasUnitStatus
Indicates that an entity is associated with a particular operational or condition status as a unit.
-
B.
loreStatus
Indicates the canonical or contextual standing of something within a fictional or narrative universe (such as whether it is official, speculative, or non-canonical lore).
-
C.
exportStatus
Indicates the current state or outcome of an entity’s export process (e.g., pending, in progress, completed, or failed).
-
D.
CISStatus
Indicates the compliance or certification status of an entity with respect to CIS (Center for Internet Security) benchmarks or standards.
-
E.
observationalStatus
Indicates the current state or condition of an observation, such as whether it has been made, recorded, verified, or remains pending.
- 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada9ad4b1c8190bc6ad0f025f238c8 |
completed | March 8, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69ad9e05e4f48190adbe4366cdba2349 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f9259c8190afbc5ad0fa55436b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:07 p.m.