Triple
T10563681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Mesopotamia |
E249292
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Uruk |
E37108
|
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: Uruk | Statement: [Lower Mesopotamia, contains, Uruk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uruk Context triple: [Lower Mesopotamia, contains, Uruk]
-
A.
Uruk
chosen
Uruk was one of the earliest major cities in ancient Sumer and Mesopotamia, renowned as a political, religious, and cultural center often associated with the legendary king Gilgamesh.
-
B.
Lugalanda
Lugalanda was an early Sumerian ruler of the city-state of Lagash, known from cuneiform inscriptions dating to the mid-3rd millennium BCE.
-
C.
Tharkûn
Tharkûn is the name used by the Dwarves for Gandalf, one of the Istari wizards in J.R.R. Tolkien’s Middle-earth legendarium.
-
D.
Shumerlya
Shumerlya is a town in the Chuvash Republic of Russia, known as a local industrial and transport center.
-
E.
Shuruppak
Shuruppak was an important ancient Sumerian city in southern Mesopotamia, traditionally associated with early urban development and the Sumerian flood myth.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d527224b808190b996ae970393f9c3 |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9349bb7748190b5afb492e78d1128 |
completed | April 10, 2026, 5:34 p.m. |
Created at: April 6, 2026, 12:36 p.m.