Triple
T8916879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niffer |
E212314
|
entity |
| Predicate | hasTemple |
P1191
|
FINISHED |
| Object | Ekur |
E212307
|
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: Ekur | Statement: [Niffer, hasTemple, Ekur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ekur Context triple: [Niffer, hasTemple, Ekur]
-
A.
Ekur
chosen
Ekur was the principal temple complex in the ancient Sumerian city of Nippur, dedicated primarily to the chief god Enlil and serving as a major religious center in Mesopotamia.
-
B.
Urakhi
Urakhi is a dialect of the Dargin language spoken by a subset of the Dargin people in the North Caucasus region of Russia.
-
C.
Euakafa
Euakafa is a small island in the Vavaʻu island group of the Kingdom of Tonga, known for its scenic beauty and surrounding coral reefs.
-
D.
Eketāhuna
Eketāhuna is a small rural town in New Zealand’s North Island, known for its farming community and location in the Tararua District.
-
E.
Urunga
Urunga is a small coastal town in New South Wales, Australia, known for its scenic boardwalks, estuary views, and relaxed seaside atmosphere.
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6610cd48819090a184c5f9465626 |
completed | April 1, 2026, 12:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba4567a88190855b964bc6e3ac6f |
completed | April 3, 2026, 1:01 p.m. |
Created at: March 30, 2026, 6:56 p.m.