Triple
T11046814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arda |
E261156
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | The Great Sea |
E819723
|
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: The Great Sea | Statement: [Arda, contains, The Great Sea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Great Sea Context triple: [Arda, contains, The Great Sea]
-
A.
the Great Sea
chosen
The Great Sea is the vast ocean in J.R.R. Tolkien’s legendarium that lies between Middle-earth and the Undying Lands, forming a formidable barrier to the Blessed Realm of Valinor.
-
B.
Pelago
Pelago is a travel and experiences booking platform that curates and sells activities, tours, and attractions to consumers, often in partnership with airlines and tourism brands.
-
C.
Mare Nostrum
Mare Nostrum is a 1926 American silent war drama film directed by Rex Ingram, known for its World War I espionage story and starring Alice Terry.
-
D.
The High Seas
"The High Seas" is an episode of the nature documentary series "Our Planet" that explores the diverse and often unseen life and ecosystems found in the open ocean.
-
E.
Baheri
Baheri is a town located in the Darbhanga district of the Indian state of Bihar.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798307da481908996557a73c9b49a |
completed | April 9, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9fad8248190810e097d148655f5 |
completed | April 18, 2026, 3:57 p.m. |
Created at: April 8, 2026, 9:26 p.m.