Triple
T14858886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FJSUV |
E349434
|
entity |
| Predicate | representsTypeOfLocation |
P59369
|
FINISHED |
| Object | seaport |
—
|
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: seaport | Statement: [FJSUV, representsTypeOfLocation, seaport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsTypeOfLocation Context triple: [FJSUV, representsTypeOfLocation, seaport]
-
A.
refersToLocation
Indicates that one entity designates, points to, or identifies a specific location associated with it.
-
B.
regionRepresentation
Indicates that one entity serves as a representation, model, or depiction of a specific geographic or spatial region associated with another entity.
-
C.
typeOfAreaRepresented
chosen
Indicates that one entity specifies the kind or category of area that another entity represents.
-
D.
representsCity
Indicates that one entity serves as the official representative or embodiment of a particular city.
-
E.
representsCountryLocatedIn
Indicates that a country is geographically or politically situated within a specified larger region, territory, or context.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44598e48190b759a05ed2d9ecaf |
completed | April 14, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:54 a.m.