Triple
T2344910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marsa Matruh |
E45107
|
entity |
| Predicate | coastalType |
P799
|
FINISHED |
| Object | Mediterranean resort town |
—
|
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 resort town | Statement: [Marsa Matruh, coastalType, Mediterranean resort town]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coastalType Context triple: [Marsa Matruh, coastalType, Mediterranean resort town]
-
A.
coastType
chosen
Indicates the specific kind or classification of a coastline associated with a geographic area.
-
B.
shoreType
Indicates the kind or classification of a shoreline associated with a body of water or coastal area.
-
C.
containsCoastalFeature
Indicates that one entity geographically includes or encompasses a coastal feature (such as a beach, cliff, bay, or shoreline) within its area or boundaries.
-
D.
basedOnCoast
Indicates that something is situated along, adjacent to, or directly influenced by a coastline.
-
E.
coastalCluster
Indicates a grouping of entities that are located near or along the same coastal area or shoreline.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abcade3c808190ab3803538ccbe620 |
completed | March 7, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69abc59616a8819099711834e6f1ccd6 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:52 p.m.