Triple
T16165303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sirsa district |
E392287
|
entity |
| Predicate | hasVidhanSabhaConstituency |
P23217
|
FINISHED |
| Object |
Ellenabad
Ellenabad is a town in the Indian state of Haryana that serves as a legislative assembly (Vidhan Sabha) constituency within the Sirsa district.
|
E1197405
|
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: Ellenabad | Statement: [Sirsa district, hasVidhanSabhaConstituency, Ellenabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellenabad Context triple: [Sirsa district, hasVidhanSabhaConstituency, Ellenabad]
-
A.
Yaseenabad
Yaseenabad is a residential neighborhood located within the Federal B Area of Karachi, Pakistan.
-
B.
Zainabadi
Zainabadi refers to an ethnic group associated with Iran, particularly linked to the Golestan Province region.
-
C.
Ittehad Town
Ittehad Town is a residential neighborhood located in the SITE Town area of Karachi, Pakistan.
-
D.
Hillah
Hillah is a city in central Iraq on the Euphrates River, known as the modern settlement adjacent to the ruins of ancient Babylon.
-
E.
Nooriabad
Nooriabad is an industrial town in the Jamshoro District of Sindh, Pakistan, known for its manufacturing zones and proximity to Karachi.
- 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: Ellenabad Triple: [Sirsa district, hasVidhanSabhaConstituency, Ellenabad]
Generated description
Ellenabad is a town in the Indian state of Haryana that serves as a legislative assembly (Vidhan Sabha) constituency within the Sirsa district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ellenabad Target entity description: Ellenabad is a town in the Indian state of Haryana that serves as a legislative assembly (Vidhan Sabha) constituency within the Sirsa district.
-
A.
Yaseenabad
Yaseenabad is a residential neighborhood located within the Federal B Area of Karachi, Pakistan.
-
B.
Zainabadi
Zainabadi refers to an ethnic group associated with Iran, particularly linked to the Golestan Province region.
-
C.
Ittehad Town
Ittehad Town is a residential neighborhood located in the SITE Town area of Karachi, Pakistan.
-
D.
Hillah
Hillah is a city in central Iraq on the Euphrates River, known as the modern settlement adjacent to the ruins of ancient Babylon.
-
E.
Nooriabad
Nooriabad is an industrial town in the Jamshoro District of Sindh, Pakistan, known for its manufacturing zones and proximity to Karachi.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb2a25c819095437b25e6ab83f3 |
completed | April 17, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7b96bf08190b23bd3b705a34c61 |
completed | May 10, 2026, 3:12 a.m. |
| NEDg | Description generation | batch_69fff87caefc8190836d690dfb2523f9 |
completed | May 10, 2026, 3:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff98b3d7c8190bb284321d17f58e2 |
completed | May 10, 2026, 3:20 a.m. |
Created at: April 10, 2026, 5:02 a.m.