Triple
T31910940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ceiba |
E814682
|
entity |
| Predicate | hasFormerNavalBase |
P193423
|
FINISHED |
| Object | Roosevelt Roads Naval Station |
—
|
NE NERFINISHED |
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: Roosevelt Roads Naval Station | Statement: [Ceiba, hasFormerNavalBase, Roosevelt Roads Naval Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerNavalBase Context triple: [Ceiba, hasFormerNavalBase, Roosevelt Roads Naval Station]
-
A.
establishedAsNavalBase
Indicates that a location was formally designated and put into use as a naval base.
-
B.
isNavalBase
Indicates that a location functions as a naval base, serving as an operational facility or station for naval forces.
-
C.
hasNavalFacility
Indicates that one entity possesses, hosts, or contains a naval facility (such as a naval base, port, or installation) associated with it.
-
D.
associatedWithNavalBase
Indicates a relationship in which an entity is connected or linked to a naval base, such as by location, operation, support, or administration.
-
E.
hasNavalComponent
Indicates that something includes, involves, or is associated with a naval or maritime element as part of its composition or structure.
- 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_69f348f109d88190b5005372c53d2fcd |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
| PDg | Predicate description generation | batch_69fd474a71648190b6b6ae4991db81b1 |
completed | May 8, 2026, 2:15 a.m. |
Created at: May 1, 2026, 12:01 a.m.