Triple
T8856555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siju Wildlife Sanctuary |
E210771
|
entity |
| Predicate | nearestCity |
P350
|
FINISHED |
| Object |
Baghmara
Baghmara is a town in the South Garo Hills district of Meghalaya, India, known as a gateway to nearby forests, caves, and wildlife areas.
|
E762601
|
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: Baghmara | Statement: [Siju Wildlife Sanctuary, nearestCity, Baghmara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baghmara Context triple: [Siju Wildlife Sanctuary, nearestCity, Baghmara]
-
A.
Kadamtala
Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
-
B.
Bhailsa
Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
-
C.
Patalghar
Patalghar is a popular Bengali science-fiction novel by Shirshendu Mukhopadhyay, known for its imaginative storytelling and appeal to both children and adults.
-
D.
Ghoghardiha
Ghoghardiha is a town located in the Madhubani district of the Indian state of Bihar.
-
E.
Chamkoria
Chamkoria is the former name of Borovets, one of Bulgaria’s oldest and most popular mountain ski resorts.
- 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: Baghmara Triple: [Siju Wildlife Sanctuary, nearestCity, Baghmara]
Generated description
Baghmara is a town in the South Garo Hills district of Meghalaya, India, known as a gateway to nearby forests, caves, and wildlife areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baghmara Target entity description: Baghmara is a town in the South Garo Hills district of Meghalaya, India, known as a gateway to nearby forests, caves, and wildlife areas.
-
A.
Kadamtala
Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
-
B.
Bhailsa
Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
-
C.
Patalghar
Patalghar is a popular Bengali science-fiction novel by Shirshendu Mukhopadhyay, known for its imaginative storytelling and appeal to both children and adults.
-
D.
Ghoghardiha
Ghoghardiha is a town located in the Madhubani district of the Indian state of Bihar.
-
E.
Chamkoria
Chamkoria is the former name of Borovets, one of Bulgaria’s oldest and most popular mountain ski resorts.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60e259248190abd334bbfcdcb955 |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0a8c0a48190b362685682e13460 |
completed | April 3, 2026, 11:12 a.m. |
| NEDg | Description generation | batch_69cfa2658aac81909279cddab88a9fe6 |
completed | April 3, 2026, 11:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfa2f128d08190bef5011e03d64ef6 |
completed | April 3, 2026, 11:22 a.m. |
Created at: March 30, 2026, 6:50 p.m.