Triple
T21557369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom of Moab |
E531928
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Nebo |
—
|
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: Nebo | Statement: [Kingdom of Moab, majorCity, Nebo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nebo Context triple: [Kingdom of Moab, majorCity, Nebo]
-
A.
Nebo
chosen
Nebo is an ancient city located in the biblical region of Moab, often associated with nearby Mount Nebo east of the Jordan River.
-
B.
Avar Koysu
Avar Koysu is a mountain river in Dagestan, Russia, that forms one of the main headwaters of the Sulak River as it flows through the Caucasus.
-
C.
Vishvayu
Vishvayu is a lesser-known figure in Hindu mythology, identified in some genealogies as a son of the lunar dynasty king Pururavas.
-
D.
Urana
Urana is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural surroundings and historic country character.
-
E.
Danu
Danu are an ethnic group in Myanmar, primarily known for their agricultural communities and cultural presence in the Shan State region.
- 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e04b048190ac3a9913094b4625 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 16, 2026, 6:29 p.m.