Triple
T20830088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nelahozeves |
E512804
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object | Nelahozeves |
—
|
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: Nelahozeves | Statement: [Nelahozeves, hasOfficialName, Nelahozeves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nelahozeves Context triple: [Nelahozeves, hasOfficialName, Nelahozeves]
-
A.
Nelahozeves
chosen
Nelahozeves is a historic village in the Czech Republic best known as the birthplace of composer Antonín Dvořák.
-
B.
Sézenove
Sézenove is a small village in the municipality of Bernex in the canton of Geneva, Switzerland.
-
C.
Háje
Háje is a Prague Metro station serving as the southern terminus of Line C in the Háje district of the city.
-
D.
Puruhá
The Puruhá are an Indigenous people of the central Andean region of Ecuador, known for their rich pre-Inca cultural heritage, traditional agriculture, and enduring Kichwa-based language and customs.
-
E.
Baníkov
Baníkov is a prominent peak in Slovakia’s Western Tatras, popular with hikers for its rugged ridges and panoramic alpine views.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c32177188190ad67572cb3b5db74 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:42 p.m.