Triple
T16731781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuh district |
E406607
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Ferozepur Jhirka
Ferozepur Jhirka is a prominent town in the Nuh district of Haryana, India, known as a local administrative and commercial center for surrounding rural areas.
|
E1232064
|
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: Ferozepur Jhirka | Statement: [Nuh district, hasMajorTown, Ferozepur Jhirka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ferozepur Jhirka Context triple: [Nuh district, hasMajorTown, Ferozepur Jhirka]
-
A.
Jagraon
Jagraon is a historic town in the Indian state of Punjab, known for its agricultural trade and cultural significance in the Malwa region.
-
B.
Sangrur
Sangrur is a city in the Indian state of Punjab known as an agricultural and administrative center within the Malwa region.
-
C.
Randhawa
Randhawa is an Indian-origin Punjabi surname notably borne by American politician Nikki Haley.
-
D.
Kharbanda
Kharbanda is the birth name of Öljeitü, the Ilkhanid ruler of Persia in the early 14th century.
-
E.
Baddi
Baddi is an industrial town in the Solan district of Himachal Pradesh, India, known for its large concentration of pharmaceutical and manufacturing units.
- 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: Ferozepur Jhirka Triple: [Nuh district, hasMajorTown, Ferozepur Jhirka]
Generated description
Ferozepur Jhirka is a prominent town in the Nuh district of Haryana, India, known as a local administrative and commercial center for surrounding rural areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ferozepur Jhirka Target entity description: Ferozepur Jhirka is a prominent town in the Nuh district of Haryana, India, known as a local administrative and commercial center for surrounding rural areas.
-
A.
Jagraon
Jagraon is a historic town in the Indian state of Punjab, known for its agricultural trade and cultural significance in the Malwa region.
-
B.
Sangrur
Sangrur is a city in the Indian state of Punjab known as an agricultural and administrative center within the Malwa region.
-
C.
Randhawa
Randhawa is an Indian-origin Punjabi surname notably borne by American politician Nikki Haley.
-
D.
Kharbanda
Kharbanda is the birth name of Öljeitü, the Ilkhanid ruler of Persia in the early 14th century.
-
E.
Baddi
Baddi is an industrial town in the Solan district of Himachal Pradesh, India, known for its large concentration of pharmaceutical and manufacturing units.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c362bb88190921fab43d76c3ee8 |
completed | April 18, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a519a89081909456bb6fc25d9234 |
completed | May 10, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a00a5c4e934819088db49d81be154c3 |
completed | May 10, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a6b84d288190aeccb06745146b80 |
completed | May 10, 2026, 3:39 p.m. |
Created at: April 10, 2026, 5:20 a.m.