Triple
T16529197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lohegaon |
E401518
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Dhanori
Dhanori is a rapidly developing residential suburb in the northeastern part of Pune, Maharashtra, known for its proximity to the airport and growing urban infrastructure.
|
E1218787
|
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: Dhanori | Statement: [Lohegaon, locatedNear, Dhanori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dhanori Context triple: [Lohegaon, locatedNear, Dhanori]
-
A.
Dhanora
Dhanora is a notable town located in Jyotiba Phule Nagar district in the Indian state of Uttar Pradesh.
-
B.
Dhanora
Dhanora is a village located in the Patan district of the Indian state of Gujarat.
-
C.
Dhamar
Dhamar is a historic city in Yemen known as an important political and cultural center, particularly during the rule of the Rassid dynasty.
-
D.
Dargai
Dargai is a town in Pakistan’s Khyber Pakhtunkhwa province, historically known as a strategic and military site in the Malakand region.
-
E.
Jhirnya
Jhirnya is a small town in the Khargone district of Madhya Pradesh, India, known primarily as a local administrative and rural market center.
- 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: Dhanori Triple: [Lohegaon, locatedNear, Dhanori]
Generated description
Dhanori is a rapidly developing residential suburb in the northeastern part of Pune, Maharashtra, known for its proximity to the airport and growing urban infrastructure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dhanori Target entity description: Dhanori is a rapidly developing residential suburb in the northeastern part of Pune, Maharashtra, known for its proximity to the airport and growing urban infrastructure.
-
A.
Dhanora
Dhanora is a notable town located in Jyotiba Phule Nagar district in the Indian state of Uttar Pradesh.
-
B.
Dhanora
Dhanora is a village located in the Patan district of the Indian state of Gujarat.
-
C.
Dhamar
Dhamar is a historic city in Yemen known as an important political and cultural center, particularly during the rule of the Rassid dynasty.
-
D.
Dargai
Dargai is a town in Pakistan’s Khyber Pakhtunkhwa province, historically known as a strategic and military site in the Malakand region.
-
E.
Jhirnya
Jhirnya is a small town in the Khargone district of Madhya Pradesh, India, known primarily as a local administrative and rural market center.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed625208190a68b879266b05b3f |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00608efd0c81908e64419bd74eb285 |
completed | May 10, 2026, 10:40 a.m. |
| NEDg | Description generation | batch_6a0062cbe9048190823db47a42dac26a |
completed | May 10, 2026, 10:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00635f57c08190ad915082b00b0f88 |
completed | May 10, 2026, 10:52 a.m. |
Created at: April 10, 2026, 5:14 a.m.