Triple
T1317370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cairo–Port Said line |
E28134
|
entity |
| Predicate | connectsToSea |
P12922
|
FINISHED |
| Object | Mediterranean Sea via Port Said |
—
|
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: Mediterranean Sea via Port Said | Statement: [Cairo–Port Said line, connectsToSea, Mediterranean Sea via Port Said]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsToSea Context triple: [Cairo–Port Said line, connectsToSea, Mediterranean Sea via Port Said]
-
A.
hasSeaAccess
chosen
Indicates that an entity has direct access to the sea, typically via a coastline, port, or navigable waterway connected to the sea.
-
B.
hasNotableSea
Indicates that an entity is associated with or contains a sea that is considered notable or significant.
-
C.
appliesToSeaArea
Indicates that something (such as a rule, restriction, or designation) is relevant or valid within a specified sea area.
-
D.
isShallowSea
Indicates that a body of water is a shallow marine area, typically near coasts or continental shelves, rather than deep ocean.
-
E.
usesAtSea
Indicates that something is employed, operated, or applied in a maritime or oceanic environment.
- 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_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c175079481909077cf11ed72d6fa |
completed | March 1, 2026, 10:45 p.m. |
| PD | Predicate disambiguation | batch_69a4beebcb348190964bd7215811942c |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:55 p.m.