Triple
T16721234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ialysos Beach |
E406351
|
entity |
| Predicate | hasSeaEntry |
P124373
|
FINISHED |
| Object | relatively steep in some sections |
—
|
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: relatively steep in some sections | Statement: [Ialysos Beach, hasSeaEntry, relatively steep in some sections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeaEntry Context triple: [Ialysos Beach, hasSeaEntry, relatively steep in some sections]
-
A.
hasDestinationSea
Indicates that something is directed or travels toward a sea as its endpoint or target location.
-
B.
hasSeaCondition
Indicates that an entity is associated with or characterized by a particular state or condition of the sea.
-
C.
hasSeaAccess
Indicates that an entity has direct access to the sea, typically via a coastline, port, or navigable waterway connected to the sea.
-
D.
hasHarbourEntrance
Indicates that an entity serves as the entrance or access point to a harbour for another entity.
-
E.
hasSeaArmType
Indicates that an entity is associated with or characterized by a specific type of sea arm (such as a bay, gulf, fjord, or similar marine inlet).
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38743750c81908a980372ad8f1a6a |
completed | April 18, 2026, 1:29 p.m. |
| PD | Predicate disambiguation | batch_69e319c379f88190ac0adf812486f598 |
completed | April 18, 2026, 5:42 a.m. |
| PDg | Predicate description generation | batch_69e326b9e84881909a9166e65bd850d6 |
completed | April 18, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:20 a.m.