Triple
T8925636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kish |
E212532
|
entity |
| Predicate | hasArchaeologicalMound |
P24197
|
FINISHED |
| Object |
Tell Uhaimir
Tell Uhaimir is an archaeological mound in modern-day Iraq that marks the site of the ancient Mesopotamian city of Kish.
|
E766740
|
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: Tell Uhaimir | Statement: [Kish, hasArchaeologicalMound, Tell Uhaimir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tell Uhaimir Context triple: [Kish, hasArchaeologicalMound, Tell Uhaimir]
-
A.
Hestur
Hestur is a small, sparsely populated island in the central Faroe Islands known for its steep cliffs, birdlife, and traditional Faroese landscape.
-
B.
Kvasir
Kvasir is a figure in Norse mythology renowned as the wisest of all beings, whose blood was used to create the magical mead of poetry.
-
C.
Muninn
Muninn is one of the two ravens in Norse mythology who serve Odin by flying across the world to gather and report information back to him.
-
D.
Hoderi
Hoderi is a deity in Japanese mythology, known as the elder son of Ninigi-no-Mikoto and an ancestor of seafaring clans.
-
E.
Hakunila
Hakunila is a residential district in the city of Vantaa, Finland, known for its diverse population, apartment housing, and proximity to nature and outdoor recreation areas.
- 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: Tell Uhaimir Triple: [Kish, hasArchaeologicalMound, Tell Uhaimir]
Generated description
Tell Uhaimir is an archaeological mound in modern-day Iraq that marks the site of the ancient Mesopotamian city of Kish.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tell Uhaimir Target entity description: Tell Uhaimir is an archaeological mound in modern-day Iraq that marks the site of the ancient Mesopotamian city of Kish.
-
A.
Hestur
Hestur is a small, sparsely populated island in the central Faroe Islands known for its steep cliffs, birdlife, and traditional Faroese landscape.
-
B.
Kvasir
Kvasir is a figure in Norse mythology renowned as the wisest of all beings, whose blood was used to create the magical mead of poetry.
-
C.
Muninn
Muninn is one of the two ravens in Norse mythology who serve Odin by flying across the world to gather and report information back to him.
-
D.
Hoderi
Hoderi is a deity in Japanese mythology, known as the elder son of Ninigi-no-Mikoto and an ancestor of seafaring clans.
-
E.
Hakunila
Hakunila is a residential district in the city of Vantaa, Finland, known for its diverse population, apartment housing, and proximity to nature and outdoor recreation areas.
- 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_69ca839481d48190b42b037e0d0f636c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66700fb48190874563e535f20437 |
completed | April 1, 2026, 12:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba58e9ec81909141c516d05ac790 |
completed | April 3, 2026, 1:02 p.m. |
| NEDg | Description generation | batch_69cfbade9330819096d4b0eeacdad6da |
completed | April 3, 2026, 1:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfbec2b8888190a0390168fdcef05f |
completed | April 3, 2026, 1:21 p.m. |
Created at: March 30, 2026, 6:57 p.m.