Triple
T13450479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Šarru-kīn II |
E320594
|
entity |
| Predicate | nameInAkkadian |
P46870
|
FINISHED |
| Object |
Šarru-kīn
Šarru-kīn is the Akkadian name of Sargon II, the Neo-Assyrian king who ruled in the late 8th century BCE and expanded the Assyrian Empire.
|
E1040345
|
NE FINISHED |
How this triple was built (4 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: Šarru-kīn | Statement: [Šarru-kīn II, nameInAkkadian, Šarru-kīn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Šarru-kīn Context triple: [Šarru-kīn II, nameInAkkadian, Šarru-kīn]
-
A.
Samalkha
Samalkha is a town in the northern Indian state of Haryana, known for its industrial activity and location along major transport routes.
-
B.
Kishar
Kishar is a primordial Mesopotamian earth goddess associated with the horizon and paired with the sky god Anshar in ancient creation myths.
-
C.
Qenneshrin
Qenneshrin was an ancient town in northern Syria that became an important center of Syriac Christianity and monastic scholarship.
-
D.
Tumshuq
Tumshuq is an ancient city in the Tarim Basin region of Xinjiang, China, historically associated with the Saka (Scythian) peoples and their Eastern Iranian languages.
-
E.
Sharazan
"Sharazan" is a popular Italian pop song performed by the duo Al Bano and Romina Power, known for its melodic style and romantic themes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Šarru-kīn Triple: [Šarru-kīn II, nameInAkkadian, Šarru-kīn]
Generated description
Šarru-kīn is the Akkadian name of Sargon II, the Neo-Assyrian king who ruled in the late 8th century BCE and expanded the Assyrian Empire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Šarru-kīn Target entity description: Šarru-kīn is the Akkadian name of Sargon II, the Neo-Assyrian king who ruled in the late 8th century BCE and expanded the Assyrian Empire.
-
A.
Samalkha
Samalkha is a town in the northern Indian state of Haryana, known for its industrial activity and location along major transport routes.
-
B.
Kishar
Kishar is a primordial Mesopotamian earth goddess associated with the horizon and paired with the sky god Anshar in ancient creation myths.
-
C.
Qenneshrin
Qenneshrin was an ancient town in northern Syria that became an important center of Syriac Christianity and monastic scholarship.
-
D.
Tumshuq
Tumshuq is an ancient city in the Tarim Basin region of Xinjiang, China, historically associated with the Saka (Scythian) peoples and their Eastern Iranian languages.
-
E.
Sharazan
"Sharazan" is a popular Italian pop song performed by the duo Al Bano and Romina Power, known for its melodic style and romantic themes.
- F. None of above. chosen
Provenance (5 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaef973b08190a3d7fe1c2a913cff |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73999f8388190b2c578e063341178 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73af2b37481908c4d282c1335fe08 |
completed | May 3, 2026, 12:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73b959de88190959335353242031b |
completed | May 3, 2026, 12:12 p.m. |
Created at: April 9, 2026, 9:41 p.m.