Triple
T19570211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Land of Nod |
E489688
|
entity |
| Predicate | originalName |
P65
|
FINISHED |
| Object | אֶרֶץ־נוֹד |
—
|
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: אֶרֶץ־נוֹד | Statement: [Land of Nod, originalName, אֶרֶץ־נוֹד]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: אֶרֶץ־נוֹד Context triple: [Land of Nod, originalName, אֶרֶץ־נוֹד]
-
A.
Erdeven
Erdeven is a coastal commune in Brittany, northwestern France, known for its sandy beaches, dunes, and megalithic sites.
-
B.
Al-Ard
Al-Ard is a landmark 1969 Egyptian film by director Youssef Chahine that powerfully portrays peasant struggles against feudal oppression in rural Egypt.
-
C.
land of Nod
chosen
The land of Nod is a mysterious region mentioned in the Bible as the place of Cain’s exile after he killed his brother Abel.
-
D.
The Earthly
The Earthly is a poetry collection by Russian poet Arseny Tarkovsky, known for its contemplative, metaphysical verse and its influence on the aesthetic world of his son, filmmaker Andrei Tarkovsky.
-
E.
Worn Earth
Worn Earth is a poetry collection by American writer Paul Engle, reflecting his characteristic focus on Midwestern life and the human relationship with the natural world.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6402043588190a99f5a55c5dcd8a6 |
completed | April 20, 2026, 3:02 p.m. |
Created at: April 10, 2026, 1:42 p.m.