Triple
T4551507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portugal and Spain |
E110173
|
entity |
| Predicate | haveMaritimeHistory |
P20564
|
FINISHED |
| Object | notable |
—
|
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: notable | Statement: [Portugal and Spain, haveMaritimeHistory, notable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveMaritimeHistory Context triple: [Portugal and Spain, haveMaritimeHistory, notable]
-
A.
hasMaritimeHeritage
chosen
Indicates that an entity possesses a historical, cultural, or traditional connection to maritime activities, seafaring, or the sea.
-
B.
hasMaritimeMuseum
Indicates that one entity possesses, hosts, or includes a maritime museum as part of its features or facilities.
-
C.
hasSeafaringTheme
Indicates that something is characterized by or prominently features elements related to seafaring, such as ships, sailors, or maritime life.
-
D.
hasShipwrecks
Indicates that one entity contains, includes, or is associated with shipwrecks located within it or under its control.
-
E.
maritimeExpansion
Indicates the process by which an entity extends its influence, activities, or control over new maritime areas, routes, or territories.
- 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_69bd4412524c8190be5bcc9ddee91848 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57f7b9748190af29d02fc77b02e0 |
completed | March 20, 2026, 2:21 p.m. |
| PD | Predicate disambiguation | batch_69bd5223423c81908317351b58cff5f5 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:05 p.m.