Triple
T11224929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Havelian Dry Port |
E265669
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Havelian |
E271514
|
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: Havelian | Statement: [Havelian Dry Port, locatedIn, Havelian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Havelian Context triple: [Havelian Dry Port, locatedIn, Havelian]
-
A.
Havelian
chosen
Havelian is a town in Pakistan’s Khyber Pakhtunkhwa province, known as a local commercial center and a key junction on the Karakoram Highway.
-
B.
Haveltermade
Haveltermade is a residential district of the Dutch city of Meppel in the province of Drenthe.
-
C.
Havel
The Havel is a river in northeastern Germany that flows through Berlin and Brandenburg before joining the Elbe.
-
D.
Havlíček
Havlíček is a Czech surname most famously associated with basketball Hall of Famer John Havlicek and several notable Czech cultural and public figures.
-
E.
Moholy
Moholy is a surname most notably associated with figures linked to the Bauhaus movement, such as photographer and writer Lucia Moholy.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ee15d4819087449058addef597 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad269b248190bb72e560e3efc0ce |
completed | April 19, 2026, 10:23 a.m. |
Created at: April 8, 2026, 9:30 p.m.