Triple
T10888192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anindya Bose |
E257104
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object |
Shahar
Shahar is an organization or group that includes Anindya Bose among its members.
|
E892348
|
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: Shahar | Statement: [Anindya Bose, memberOf, Shahar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shahar Context triple: [Anindya Bose, memberOf, Shahar]
-
A.
Shahrak
Shahrak is a town located in Afghanistan’s central-western Ghor Province.
-
B.
Sadras
Sadras is a historic coastal town in Tamil Nadu, India, known for its Dutch-era fort and role as a former trading port on the Coromandel Coast.
-
C.
Bais City
Bais City is a component city in Negros Oriental in the Central Visayas region of the Philippines, known for its sugar industry and dolphin- and whale-watching tourism.
-
D.
Badrashin city
Badrashin city is an urban center in Giza Governorate, Egypt, known for its proximity to several important archaeological and historical sites from ancient Egypt.
-
E.
Migdal
Migdal is an ancient town on the western shore of the Sea of Galilee in northern Israel, traditionally identified with the biblical Magdala and known as the hometown of Mary Magdalene.
- 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: Shahar Triple: [Anindya Bose, memberOf, Shahar]
Generated description
Shahar is an organization or group that includes Anindya Bose among its members.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shahar Target entity description: Shahar is an organization or group that includes Anindya Bose among its members.
-
A.
Shahrak
Shahrak is a town located in Afghanistan’s central-western Ghor Province.
-
B.
Sadras
Sadras is a historic coastal town in Tamil Nadu, India, known for its Dutch-era fort and role as a former trading port on the Coromandel Coast.
-
C.
Bais City
Bais City is a component city in Negros Oriental in the Central Visayas region of the Philippines, known for its sugar industry and dolphin- and whale-watching tourism.
-
D.
Badrashin city
Badrashin city is an urban center in Giza Governorate, Egypt, known for its proximity to several important archaeological and historical sites from ancient Egypt.
-
E.
Migdal
Migdal is an ancient town on the western shore of the Sea of Galilee in northern Israel, traditionally identified with the biblical Magdala and known as the hometown of Mary Magdalene.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75201e6888190a2bc41a17784eec3 |
completed | April 9, 2026, 7:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e154f288b48190b0e840178d1071af |
completed | April 16, 2026, 9:30 p.m. |
| NEDg | Description generation | batch_69e1801dc2e8819099bc862705871761 |
completed | April 17, 2026, 12:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e1831802608190b5c3c5a4e8d8681a |
completed | April 17, 2026, 12:47 a.m. |
Created at: April 8, 2026, 9:21 p.m.