Triple
T1761689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assyria |
E38671
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Nineveh |
E38672
|
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: Nineveh | Statement: [Assyria, capital, Nineveh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nineveh Context triple: [Assyria, capital, Nineveh]
-
A.
Nineveh
chosen
Nineveh was an ancient Assyrian city on the eastern bank of the Tigris River, famed as a major political and cultural center and once the capital of the Neo-Assyrian Empire.
-
B.
Ashur
Ashur is an ancient Mesopotamian city in northern Iraq that served as the first capital and religious center of the Assyrian Empire.
-
C.
Sippar
Sippar was an important ancient Mesopotamian city, renowned as a religious and administrative center particularly associated with the sun god Shamash.
-
D.
Samarra
Samarra is an ancient Iraqi city on the Tigris River renowned for its monumental Islamic architecture, especially the spiral minaret of the Great Mosque of Samarra.
-
E.
Turkmenabat
Turkmenabat is one of the largest cities in Turkmenistan, serving as an important industrial, transport, and cultural center in the country’s east near the border with Uzbekistan.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa6463ac0081909e9ebe6ebf1db857 |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf4db1c48190a96f137db3e2f32c |
completed | March 8, 2026, 6:26 p.m. |
Created at: March 4, 2026, 7:31 p.m.