Triple
T3116315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purvanchal Expressway |
E65070
|
entity |
| Predicate | endPoint |
P390
|
FINISHED |
| Object |
Haydaria
Haydaria is a locality in Uttar Pradesh, India, known as the eastern terminus of the Purvanchal Expressway.
|
E327010
|
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: Haydaria | Statement: [Purvanchal Expressway, endPoint, Haydaria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haydaria Context triple: [Purvanchal Expressway, endPoint, Haydaria]
-
A.
Rashakai
Rashakai is a locality in Pakistan’s Khyber Pakhtunkhwa province, known for its strategic position near Swabi and the nearby Rashakai Special Economic Zone on the China–Pakistan Economic Corridor.
-
B.
Husan
Husan is a Palestinian village located in the Bethlehem Governorate of the West Bank.
-
C.
Ghadamès
Ghadamès is an ancient oasis town in western Libya, renowned for its well-preserved Saharan architecture and UNESCO-listed historic old quarter.
-
D.
Husseiniyas
Husseiniyas are Shia Islamic congregation halls used for religious gatherings, especially commemorations of Imam Husayn and the events of Karbala.
-
E.
Ansar
Ansar were the early Muslim inhabitants of Medina who supported and sheltered the Prophet Muhammad and his followers after their migration from Mecca.
- 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: Haydaria Triple: [Purvanchal Expressway, endPoint, Haydaria]
Generated description
Haydaria is a locality in Uttar Pradesh, India, known as the eastern terminus of the Purvanchal Expressway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haydaria Target entity description: Haydaria is a locality in Uttar Pradesh, India, known as the eastern terminus of the Purvanchal Expressway.
-
A.
Rashakai
Rashakai is a locality in Pakistan’s Khyber Pakhtunkhwa province, known for its strategic position near Swabi and the nearby Rashakai Special Economic Zone on the China–Pakistan Economic Corridor.
-
B.
Husan
Husan is a Palestinian village located in the Bethlehem Governorate of the West Bank.
-
C.
Ghadamès
Ghadamès is an ancient oasis town in western Libya, renowned for its well-preserved Saharan architecture and UNESCO-listed historic old quarter.
-
D.
Husseiniyas
Husseiniyas are Shia Islamic congregation halls used for religious gatherings, especially commemorations of Imam Husayn and the events of Karbala.
-
E.
Ansar
Ansar were the early Muslim inhabitants of Medina who supported and sheltered the Prophet Muhammad and his followers after their migration from Mecca.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada4e5d1488190a2ab199625fdf05d |
completed | March 8, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2039d9d408190b01e45f0ced5ca3d |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b20547c0008190ac2589f54111bad9 |
completed | March 12, 2026, 12:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b205bff1d88190a9bb212d9a607f18 |
completed | March 12, 2026, 12:16 a.m. |
Created at: March 8, 2026, 3:04 p.m.