Triple
T3361706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chandni Chowk |
E70736
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Nai Sarak
Nai Sarak is a bustling commercial street in Old Delhi known for its dense concentration of bookshops, stationery stores, and educational supply outlets.
|
E351453
|
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: Nai Sarak | Statement: [Chandni Chowk, hasLandmark, Nai Sarak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nai Sarak Context triple: [Chandni Chowk, hasLandmark, Nai Sarak]
-
A.
Sachkhere
Sachkhere is a town in western Georgia known as a local administrative and economic center in the Imereti region.
-
B.
Sanga Bari
Sanga Bari is one of the historic city gates of Harar Jugol, the fortified old town of Harar in eastern Ethiopia.
-
C.
Napareuli
Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
-
D.
Sehore
Sehore is a town and district headquarters in central India, located near the state capital Bhopal in Madhya Pradesh.
-
E.
Sulak
Sulak is a Thai social activist and Buddhist scholar known for his advocacy of human rights, democracy, and engaged Buddhism.
- 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: Nai Sarak Triple: [Chandni Chowk, hasLandmark, Nai Sarak]
Generated description
Nai Sarak is a bustling commercial street in Old Delhi known for its dense concentration of bookshops, stationery stores, and educational supply outlets.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nai Sarak Target entity description: Nai Sarak is a bustling commercial street in Old Delhi known for its dense concentration of bookshops, stationery stores, and educational supply outlets.
-
A.
Sachkhere
Sachkhere is a town in western Georgia known as a local administrative and economic center in the Imereti region.
-
B.
Sanga Bari
Sanga Bari is one of the historic city gates of Harar Jugol, the fortified old town of Harar in eastern Ethiopia.
-
C.
Napareuli
Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
-
D.
Sehore
Sehore is a town and district headquarters in central India, located near the state capital Bhopal in Madhya Pradesh.
-
E.
Sulak
Sulak is a Thai social activist and Buddhist scholar known for his advocacy of human rights, democracy, and engaged Buddhism.
- 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_69ad85a660c48190998489309a3b4869 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb26906948190851a7b7d543a4d64 |
completed | March 8, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b32546651481908dc6ab15b3344788 |
completed | March 12, 2026, 8:42 p.m. |
| NEDg | Description generation | batch_69b3280b712c8190875d5d35a1795bcd |
completed | March 12, 2026, 8:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b328ad98cc819092f5b92eb4abd1b7 |
completed | March 12, 2026, 8:57 p.m. |
Created at: March 8, 2026, 3:13 p.m.