Triple
T11860443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SITE Town |
E282143
|
entity |
| Predicate | hasMajorRoad |
P385
|
FINISHED |
| Object |
Shershah Road
Shershah Road is a primary thoroughfare serving as a key transportation route within SITE Town in Karachi, Pakistan.
|
E951591
|
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: Shershah Road | Statement: [SITE Town, hasMajorRoad, Shershah Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shershah Road Context triple: [SITE Town, hasMajorRoad, Shershah Road]
-
A.
Shahjahan Road
Shahjahan Road is a prominent thoroughfare in New Delhi, India, known for housing important government and institutional buildings.
-
B.
Najafgarh Road
Najafgarh Road is a major arterial road in West Delhi, India, connecting several key residential and commercial areas.
-
C.
Mathura Road
Mathura Road is a major arterial roadway in Delhi that forms part of National Highway 44 and connects central Delhi with its southern and southeastern suburbs.
-
D.
Lodhi Road
Lodhi Road is a major thoroughfare in New Delhi, India, known for its government offices, cultural institutions, and proximity to historic sites and green spaces.
-
E.
Sohna Road
Sohna Road is a major commercial and residential corridor in Gurugram, India, known for its office complexes, malls, and rapidly developing urban infrastructure.
- 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: Shershah Road Triple: [SITE Town, hasMajorRoad, Shershah Road]
Generated description
Shershah Road is a primary thoroughfare serving as a key transportation route within SITE Town in Karachi, Pakistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shershah Road Target entity description: Shershah Road is a primary thoroughfare serving as a key transportation route within SITE Town in Karachi, Pakistan.
-
A.
Shahjahan Road
Shahjahan Road is a prominent thoroughfare in New Delhi, India, known for housing important government and institutional buildings.
-
B.
Najafgarh Road
Najafgarh Road is a major arterial road in West Delhi, India, connecting several key residential and commercial areas.
-
C.
Mathura Road
Mathura Road is a major arterial roadway in Delhi that forms part of National Highway 44 and connects central Delhi with its southern and southeastern suburbs.
-
D.
Lodhi Road
Lodhi Road is a major thoroughfare in New Delhi, India, known for its government offices, cultural institutions, and proximity to historic sites and green spaces.
-
E.
Sohna Road
Sohna Road is a major commercial and residential corridor in Gurugram, India, known for its office complexes, malls, and rapidly developing urban infrastructure.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a69a099c8190a674db64c50eca5a |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281745ca88190968e1f674d0e483c |
completed | April 29, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69f28a8e64ac8190ba7637fd00e024bd |
completed | April 29, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f28d4e341c8190abc8febc3b26a617 |
completed | April 29, 2026, 10:59 p.m. |
Created at: April 8, 2026, 9:43 p.m.