Triple
T4986841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Braj region |
E112023
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Jalesar
Jalesar is a town in the Braj cultural region of northern India, known for its traditional brassware and temple heritage.
|
E486908
|
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: Jalesar | Statement: [Braj region, containsCity, Jalesar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jalesar Context triple: [Braj region, containsCity, Jalesar]
-
A.
Jasdan
Jasdan is a town in the Rajkot district of Gujarat, India, known historically as the administrative center of the former princely state of Jasdan.
-
B.
Jilava
Jilava is a locality in Romania best known for its historic prison and fortress, which were used for political detentions and executions, especially during the 20th century.
-
C.
Jajrud
Jajrud is a river in northern Iran that flows through the Alborz Mountains toward the Tehran region.
-
D.
Sagarejo
Sagarejo is a town in eastern Georgia that serves as an important local center in the Kakheti wine-producing region.
-
E.
Jalhay
Jalhay is a municipality in the province of Liège in eastern Belgium, known for its rural landscapes and proximity to the High Fens nature reserve.
- 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: Jalesar Triple: [Braj region, containsCity, Jalesar]
Generated description
Jalesar is a town in the Braj cultural region of northern India, known for its traditional brassware and temple heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jalesar Target entity description: Jalesar is a town in the Braj cultural region of northern India, known for its traditional brassware and temple heritage.
-
A.
Jasdan
Jasdan is a town in the Rajkot district of Gujarat, India, known historically as the administrative center of the former princely state of Jasdan.
-
B.
Jilava
Jilava is a locality in Romania best known for its historic prison and fortress, which were used for political detentions and executions, especially during the 20th century.
-
C.
Jajrud
Jajrud is a river in northern Iran that flows through the Alborz Mountains toward the Tehran region.
-
D.
Sagarejo
Sagarejo is a town in eastern Georgia that serves as an important local center in the Kakheti wine-producing region.
-
E.
Jalhay
Jalhay is a municipality in the province of Liège in eastern Belgium, known for its rural landscapes and proximity to the High Fens nature reserve.
- 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_69bd441be7bc8190b530362d427b97d2 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd727c25bc8190b72f6ddd3772c80a |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be924f11c88190abe6263bf11b848c |
completed | March 21, 2026, 12:42 p.m. |
| NEDg | Description generation | batch_69be94a54fac8190b11cad5e6258536c |
completed | March 21, 2026, 12:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be950871cc819091e6b2eabaa0ecc7 |
completed | March 21, 2026, 12:54 p.m. |
Created at: March 20, 2026, 1:34 p.m.