Triple
T15988180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manek Chowk |
E387752
|
entity |
| Predicate | hasNearbyLandmark |
P2064
|
FINISHED |
| Object |
Rani no Hajiro
Rani no Hajiro is a historic royal burial complex in Ahmedabad, India, known for its intricately carved tombs of the queens of the Mughal-era rulers.
|
E1187459
|
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: Rani no Hajiro | Statement: [Manek Chowk, hasNearbyLandmark, Rani no Hajiro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rani no Hajiro Context triple: [Manek Chowk, hasNearbyLandmark, Rani no Hajiro]
-
A.
Yakami-hime
Yakami-hime is a goddess in Japanese mythology known as a consort of the deity Ōkuninushi and as a figure in the Izumo cycle of legends.
-
B.
Hieda no Are
Hieda no Are was a Japanese court reciter traditionally credited with memorizing the oral histories that formed the basis of the early 8th-century chronicle Kojiki.
-
C.
Ruroo
Ruroo is a Japanese illustrator best known for providing the character artwork for the light novel series "Oreshura."
-
D.
Lady Fujitsubo
Lady Fujitsubo is a noblewoman in The Tale of Genji whose beauty and forbidden relationship with Prince Genji drive much of the novel’s emotional and political drama.
-
E.
Aishō
Aishō is a town in Shiga Prefecture, Japan, known for its rural character and historical sites.
- 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: Rani no Hajiro Triple: [Manek Chowk, hasNearbyLandmark, Rani no Hajiro]
Generated description
Rani no Hajiro is a historic royal burial complex in Ahmedabad, India, known for its intricately carved tombs of the queens of the Mughal-era rulers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rani no Hajiro Target entity description: Rani no Hajiro is a historic royal burial complex in Ahmedabad, India, known for its intricately carved tombs of the queens of the Mughal-era rulers.
-
A.
Yakami-hime
Yakami-hime is a goddess in Japanese mythology known as a consort of the deity Ōkuninushi and as a figure in the Izumo cycle of legends.
-
B.
Hieda no Are
Hieda no Are was a Japanese court reciter traditionally credited with memorizing the oral histories that formed the basis of the early 8th-century chronicle Kojiki.
-
C.
Ruroo
Ruroo is a Japanese illustrator best known for providing the character artwork for the light novel series "Oreshura."
-
D.
Lady Fujitsubo
Lady Fujitsubo is a noblewoman in The Tale of Genji whose beauty and forbidden relationship with Prince Genji drive much of the novel’s emotional and political drama.
-
E.
Aishō
Aishō is a town in Shiga Prefecture, Japan, known for its rural character and historical sites.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15781d590819096f7361ca9736721 |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d2369081909efa2d4addf0cf2d |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc45e6ff48190bb7b82adb4161ad0 |
completed | May 9, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc4cea4108190927b107fc24df597 |
completed | May 9, 2026, 11:35 p.m. |
Created at: April 10, 2026, 4:54 a.m.