Triple
T5180334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gauja |
E116902
|
entity |
| Predicate | hasBridgeInCity |
P386
|
FINISHED |
| Object | Sigulda |
E500210
|
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: Sigulda | Statement: [Gauja, hasBridgeInCity, Sigulda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sigulda Context triple: [Gauja, hasBridgeInCity, Sigulda]
-
A.
Sigulda
chosen
Sigulda is a Latvian town in the scenic Gauja River valley, known for its medieval castles, dramatic landscapes, and status as a popular outdoor and winter sports destination.
-
B.
Égly
Égly is a small commune in the Essonne department of the Île-de-France region in northern France.
-
C.
Ludvika
Ludvika is a small industrial town in central Sweden known for its engineering and manufacturing industries, particularly in the power and electrical sectors.
-
D.
Ottla
Ottla was the beloved younger sister of writer Franz Kafka, known from his diaries and letters for her close relationship with him and her tragic death in the Holocaust.
-
E.
Sorsha
Sorsha is a warrior princess from the fantasy film "Willow" who initially serves her evil mother Queen Bavmorda before ultimately turning against her.
- 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd799a322c8190b8a590cfe70761f5 |
completed | March 20, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee07d20208190a423a9a395ac9d32 |
completed | March 21, 2026, 6:16 p.m. |
Created at: March 20, 2026, 1:45 p.m.