Triple
T16120043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Njáls saga |
E391109
|
entity |
| Predicate | hasManuscript |
P16604
|
FINISHED |
| Object | Reykjabók |
E382399
|
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: Reykjabók | Statement: [Njáls saga, hasManuscript, Reykjabók]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reykjabók Context triple: [Njáls saga, hasManuscript, Reykjabók]
-
A.
Reykjabók
chosen
Reykjabók is a medieval Icelandic manuscript best known for preserving the text of the Laxdæla saga, one of the classic Icelandic family sagas.
-
B.
Húsavík
Húsavík is a small coastal village on the Faroe Islands’ island of Sandoy, known for its traditional Faroese landscape and fishing heritage.
-
C.
Húsavík
Húsavík is a coastal town in northern Iceland renowned as one of the country’s premier whale-watching destinations.
-
D.
Reykjanesbær
Reykjanesbær is a coastal municipality in southwestern Iceland known for its proximity to Keflavík International Airport and the Reykjanes Peninsula’s geothermal and volcanic landscapes.
-
E.
Hafnarfjörður
Hafnarfjörður is a port town in southwestern Iceland known for its lava-field setting, fishing industry, and role as part of the Reykjavík metropolitan area.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20200acac8190a47e6a917ff8dd34 |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2a61e448190be1f8c79cae6c7ee |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5 a.m.