Triple
T8126386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lek River |
E189739
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Lopik |
E323465
|
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: Lopik | Statement: [Lek River, flowsThrough, Lopik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lopik Context triple: [Lek River, flowsThrough, Lopik]
-
A.
Lopik
chosen
Lopik is a rural municipality and town in the central Netherlands, known for its agricultural landscape and location along the river Lek.
-
B.
Lokki
Lokki is the highest mountain peak on the Faroe Islands island of Borðoy.
-
C.
Lopevi
Lopevi is an Oceanic language of Vanuatu, traditionally spoken on Lopevi Island in the central part of the archipelago.
-
D.
Pikaliiva
Pikaliiva is a residential subdistrict of Tallinn, Estonia, located within the Haabersti district.
-
E.
Lapinig
Lapinig is a coastal municipality in the province of Northern Samar in the Philippines.
- 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_69ca82bb74848190afb1f18640632c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb438eb778819085296e6cbfa2e70d |
completed | March 31, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc946b44d08190a042932ee908dc2f |
completed | April 1, 2026, 3:43 a.m. |
Created at: March 30, 2026, 5:34 p.m.