Triple
T19421516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harlingen–Nieuweschans railway |
E485864
|
entity |
| Predicate | hasPortAccess |
P1017
|
FINISHED |
| Object | Harlingen seaport |
—
|
NE NERFINISHED |
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: Harlingen seaport | Statement: [Harlingen–Nieuweschans railway, hasPortAccess, Harlingen seaport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harlingen seaport Context triple: [Harlingen–Nieuweschans railway, hasPortAccess, Harlingen seaport]
-
A.
Harlingen
chosen
Harlingen is a historic port city in the Dutch province of Friesland, known for its maritime heritage and traditional canalside architecture.
-
B.
Harlingen
Harlingen is a mid-sized city in the Rio Grande Valley of South Texas known as a regional hub for transportation, healthcare, and commerce near the U.S.–Mexico border.
-
C.
Heiligenhafen
Heiligenhafen is a coastal town in northern Germany on the Baltic Sea, known for its fishing harbor, beaches, and tourism.
-
D.
Port of Cologne
The Port of Cologne is a major inland port on the Rhine River that serves as a key logistics and transportation hub for trade and industry in western Germany.
-
E.
Port of Leer
The Port of Leer is a small inland port in Lower Saxony, Germany, serving regional maritime trade and inland shipping along the Ems River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63214d768819082129100d7116521 |
completed | April 20, 2026, 2:03 p.m. |
Created at: April 10, 2026, 1:37 p.m.