Triple
T890461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kunwar Singh |
E19225
|
entity |
| Predicate | associatedWithPlace |
P2830
|
FINISHED |
| Object |
Ara
Ara is a historic city in the Indian state of Bihar, known for its role in the Indian independence movement and as the center of Bhojpur district.
|
E108139
|
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: Ara | Statement: [Kunwar Singh, associatedWithPlace, Ara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ara Context triple: [Kunwar Singh, associatedWithPlace, Ara]
-
A.
Ihnasya
Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
-
B.
Anat
Anat is a prominent Canaanite war and fertility goddess known for her fierce martial prowess and protective role in the ancient Levantine pantheon.
-
C.
Arapova
Arapova is a Russian-language surname historically borne by various individuals of Slavic origin.
-
D.
Abckiria
Abckiria is a 16th-century Finnish primer and religious text by Mikael Agricola, regarded as the first book printed in the Finnish language.
-
E.
Raka
Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
- 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: Ara Triple: [Kunwar Singh, associatedWithPlace, Ara]
Generated description
Ara is a historic city in the Indian state of Bihar, known for its role in the Indian independence movement and as the center of Bhojpur district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ara Target entity description: Ara is a historic city in the Indian state of Bihar, known for its role in the Indian independence movement and as the center of Bhojpur district.
-
A.
Ihnasya
Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
-
B.
Anat
Anat is a prominent Canaanite war and fertility goddess known for her fierce martial prowess and protective role in the ancient Levantine pantheon.
-
C.
Arapova
Arapova is a Russian-language surname historically borne by various individuals of Slavic origin.
-
D.
Abckiria
Abckiria is a 16th-century Finnish primer and religious text by Mikael Agricola, regarded as the first book printed in the Finnish language.
-
E.
Raka
Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
- 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad0086a081908c47c285896a1f3c |
completed | March 1, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7cf5824608190beb2c934d4986219 |
completed | March 4, 2026, 6:21 a.m. |
| NEDg | Description generation | batch_69a7cff6d01c81909c838fe9b2242e2a |
completed | March 4, 2026, 6:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7d066a3488190b4737ab9e8093892 |
completed | March 4, 2026, 6:25 a.m. |
Created at: March 1, 2026, 7:39 p.m.