Triple
T23725637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | island of Tholen |
E586265
|
entity |
| Predicate | hasSeaDefenses |
P45947
|
FINISHED |
| Object | dikes |
—
|
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: dikes | Statement: [island of Tholen, hasSeaDefenses, dikes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeaDefenses Context triple: [island of Tholen, hasSeaDefenses, dikes]
-
A.
coastalDefense
chosen
Indicates a defensive relationship in which structures, systems, or actions are used to protect a coastline or shore area from threats such as erosion, flooding, or attack.
-
B.
hasFortifications
Indicates that one entity possesses or is equipped with defensive structures or fortification works associated with it.
-
C.
shipDefenseType
Indicates the specific kind of defensive system or protection mechanism that a ship employs.
-
D.
hasNavalFacility
Indicates that one entity possesses, hosts, or contains a naval facility (such as a naval base, port, or installation) associated with it.
-
E.
hasNavalComponent
Indicates that something includes, involves, or is associated with a naval or maritime element as part of its composition or structure.
- 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_69e24906fb108190a6898751e46bdc11 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b914adc08190b339c7f83f1536d7 |
completed | April 29, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:08 p.m.