Triple
T1900866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sumer |
E37685
|
entity |
| Predicate | hasCityState |
P25797
|
FINISHED |
| Object |
Kish
Kish was an important ancient Sumerian city-state in Mesopotamia, often associated with early kingship traditions and political power in the region.
|
E212532
|
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: Kish | Statement: [Sumer, hasCityState, Kish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kish Context triple: [Sumer, hasCityState, Kish]
-
A.
Kish
Kish is a Benjaminite figure in the Hebrew Bible best known as the father of Israel’s first king, Saul.
-
B.
Aigai
Aigai was the ancient capital of the kingdom of Macedon, historically significant as the royal seat and burial place of its kings before the rise of Pella.
-
C.
Kanuma
Kanuma is a regional harvest festival celebrated mainly in Andhra Pradesh and Telangana as part of the multi-day Makar Sankranti festivities, focusing on cattle worship and agricultural prosperity.
-
D.
Kamen
Kamen is a surname most prominently associated with American inventor and entrepreneur Dean Kamen, known for creating the Segway and numerous medical devices.
-
E.
Kyodai
Kyodai is the common abbreviated name for Kyoto University, one of Japan’s most prestigious national research universities.
- 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: Kish Triple: [Sumer, hasCityState, Kish]
Generated description
Kish was an important ancient Sumerian city-state in Mesopotamia, often associated with early kingship traditions and political power in the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kish Target entity description: Kish was an important ancient Sumerian city-state in Mesopotamia, often associated with early kingship traditions and political power in the region.
-
A.
Kish
Kish is a Benjaminite figure in the Hebrew Bible best known as the father of Israel’s first king, Saul.
-
B.
Aigai
Aigai was the ancient capital of the kingdom of Macedon, historically significant as the royal seat and burial place of its kings before the rise of Pella.
-
C.
Kanuma
Kanuma is a regional harvest festival celebrated mainly in Andhra Pradesh and Telangana as part of the multi-day Makar Sankranti festivities, focusing on cattle worship and agricultural prosperity.
-
D.
Kamen
Kamen is a surname most prominently associated with American inventor and entrepreneur Dean Kamen, known for creating the Segway and numerous medical devices.
-
E.
Kyodai
Kyodai is the common abbreviated name for Kyoto University, one of Japan’s most prestigious national research universities.
- 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb7c376208190bbf28504f1aac881 |
completed | March 7, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeaf2c2908190bd050dee1576b36f |
completed | March 8, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69adeb8b3d2c8190b13c03ce944f436a |
completed | March 8, 2026, 9:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adec123cc481908e55dfbe4f4da095 |
completed | March 8, 2026, 9:37 p.m. |
Created at: March 4, 2026, 7:35 p.m.