Triple
T16899622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shahbad Markanda |
E424400
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object |
Shahabad Markanda
Shahabad Markanda is a town in the Kurukshetra district of Haryana, India, known for its historical and religious significance along the Markanda River.
|
E1241776
|
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: Shahabad Markanda | Statement: [Shahbad Markanda, alternateName, Shahabad Markanda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shahabad Markanda Context triple: [Shahbad Markanda, alternateName, Shahabad Markanda]
-
A.
Khalapur
Khalapur is a town and taluka in Maharashtra, India, known for its location along major highways and proximity to industrial and tourist hubs in the Raigad region.
-
B.
Islam Nagar
Islam Nagar is a residential neighborhood located within the town of SITE.
-
C.
Karipur
Karipur is a village in the Malappuram district of Kerala, India, best known for hosting Calicut International Airport, a major air gateway for the region.
-
D.
Umarkhed
Umarkhed is a town in the Yavatmal district of Maharashtra, India, known as a local commercial and administrative center for the surrounding rural region.
-
E.
Samanabad
Samanabad is a residential neighborhood and administrative subdivision located within the Federal B Area of Karachi, Pakistan.
- 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: Shahabad Markanda Triple: [Shahbad Markanda, alternateName, Shahabad Markanda]
Generated description
Shahabad Markanda is a town in the Kurukshetra district of Haryana, India, known for its historical and religious significance along the Markanda River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shahabad Markanda Target entity description: Shahabad Markanda is a town in the Kurukshetra district of Haryana, India, known for its historical and religious significance along the Markanda River.
-
A.
Khalapur
Khalapur is a town and taluka in Maharashtra, India, known for its location along major highways and proximity to industrial and tourist hubs in the Raigad region.
-
B.
Islam Nagar
Islam Nagar is a residential neighborhood located within the town of SITE.
-
C.
Karipur
Karipur is a village in the Malappuram district of Kerala, India, best known for hosting Calicut International Airport, a major air gateway for the region.
-
D.
Umarkhed
Umarkhed is a town in the Yavatmal district of Maharashtra, India, known as a local commercial and administrative center for the surrounding rural region.
-
E.
Samanabad
Samanabad is a residential neighborhood and administrative subdivision located within the Federal B Area of Karachi, Pakistan.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8dbc6e48190be90066b82fc61db |
completed | April 18, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfcd0db8819080d415a18b3435e2 |
completed | May 10, 2026, 6:34 p.m. |
| NEDg | Description generation | batch_6a00d0e1650881909eacc90cf99787f4 |
completed | May 10, 2026, 6:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d1e024e88190bfcb50b42f37949b |
completed | May 10, 2026, 6:43 p.m. |
Created at: April 10, 2026, 5:29 a.m.