Triple
T7668047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landskrona |
E173673
|
entity |
| Predicate | hasNearbyIsland |
P970
|
FINISHED |
| Object | Ven |
E352665
|
NE 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: Ven | Statement: [Landskrona, hasNearbyIsland, Ven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ven Context triple: [Landskrona, hasNearbyIsland, Ven]
-
A.
Ven
chosen
Ven is a small Swedish island in the Øresund Strait, known for its scenic landscapes, cycling paths, and historical association with astronomer Tycho Brahe.
-
B.
Vin
Vin is a common shortened form of the given name Vincent, often used as an informal or familiar nickname.
-
C.
VEN
VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
-
D.
Val
Val is a rebellious and skilled criminal associate in the Star Wars universe, portrayed by Thandiwe Newton in the film "Solo: A Star Wars Story."
-
E.
Val
Val is the given name of American physicist and Nobel laureate Val Fitch, known for his work on CP violation in particle physics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701c26ffc8190894fdef92f877f38 |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89b260000819088d744ea8dc53cd2 |
completed | March 29, 2026, 3:23 a.m. |
Created at: March 27, 2026, 4 p.m.