Triple
T16899621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shahbad Markanda |
E424400
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Shahabad
Shahabad is a town in the Kurukshetra district of Haryana, India, known historically by its former name Shahbad Markanda.
|
E1239300
|
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 | Statement: [Shahbad Markanda, formerName, Shahabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shahabad Context triple: [Shahbad Markanda, formerName, Shahabad]
-
A.
Shahabad
Shahabad is a town in Uttar Pradesh, India, situated within the administrative boundaries of Rampur district.
-
B.
Shamshabad
Shamshabad is a suburban area near Hyderabad in the Indian state of Telangana, known primarily for hosting the Rajiv Gandhi International Airport.
-
C.
Bandar Shahpur
Bandar Shahpur is a port city in southwestern Iran on the Persian Gulf that historically served as a key maritime and logistical hub, including during World War II supply routes.
-
D.
Wazirabad
Wazirabad is a city in the Gujranwala District of Punjab, Pakistan, known for its cutlery industry and strategic location near the Chenab River.
-
E.
Muhammadabad
Muhammadabad is a town located in the Ghazipur district of the Indian state of Uttar Pradesh.
- 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 Triple: [Shahbad Markanda, formerName, Shahabad]
Generated description
Shahabad is a town in the Kurukshetra district of Haryana, India, known historically by its former name Shahbad Markanda.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shahabad Target entity description: Shahabad is a town in the Kurukshetra district of Haryana, India, known historically by its former name Shahbad Markanda.
-
A.
Shahabad
Shahabad is a town in Uttar Pradesh, India, situated within the administrative boundaries of Rampur district.
-
B.
Shamshabad
Shamshabad is a suburban area near Hyderabad in the Indian state of Telangana, known primarily for hosting the Rajiv Gandhi International Airport.
-
C.
Bandar Shahpur
Bandar Shahpur is a port city in southwestern Iran on the Persian Gulf that historically served as a key maritime and logistical hub, including during World War II supply routes.
-
D.
Wazirabad
Wazirabad is a city in the Gujranwala District of Punjab, Pakistan, known for its cutlery industry and strategic location near the Chenab River.
-
E.
Muhammadabad
Muhammadabad is a town located in the Ghazipur district of the Indian state of Uttar Pradesh.
- 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_6a00c7b0783c81909c87de503d5e7e3c |
completed | May 10, 2026, 6 p.m. |
| NEDg | Description generation | batch_6a00c830f7ac8190ae25232f88e9774b |
completed | May 10, 2026, 6:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c8aa5aac8190be5f79f992c8a0ec |
completed | May 10, 2026, 6:04 p.m. |
Created at: April 10, 2026, 5:29 a.m.