Triple
T8715962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Culebra Cut |
E206893
|
entity |
| Predicate | widenedFor |
P5633
|
FINISHED |
| Object | increased ship traffic |
—
|
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: increased ship traffic | Statement: [Culebra Cut, widenedFor, increased ship traffic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: widenedFor Context triple: [Culebra Cut, widenedFor, increased ship traffic]
-
A.
expandedBy
chosen
Indicates that one entity increases, elaborates, or builds upon the scope, detail, or extent of another entity.
-
B.
extendedFor
Indicates that something has been lengthened in duration, scope, or extent specifically for the benefit or use of another entity.
-
C.
extendedIn
Indicates that one entity continues, prolongs, or expands the scope, duration, or range of another entity.
-
D.
expandedAcross
Indicates that something has grown or extended so that it now spans or covers multiple areas, regions, or segments.
-
E.
extendedFrom
Indicates that one entity is derived by adding to or building upon the scope, content, or structure of another entity.
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5cd807cc819090b58caf285b397a |
completed | March 31, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69cc456e806c819087e7d66ee737f242 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:35 p.m.