Triple
T7308648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahom kingdom |
E168038
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Garhgaon
Garhgaon was a historic city in Assam, India, that served as an important political and administrative center of the Ahom dynasty.
|
E689911
|
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: Garhgaon | Statement: [Ahom kingdom, capital, Garhgaon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garhgaon Context triple: [Ahom kingdom, capital, Garhgaon]
-
A.
Borahgaon
Borahgaon is a locality in the vicinity of Guwahati’s Lokpriya Gopinath Bordoloi International Airport in Assam, India.
-
B.
Baranagar
Baranagar is a densely populated suburban city in the northern part of Kolkata, India, known for its industrial areas, educational institutions, and cultural heritage.
-
C.
Chalisgaon
Chalisgaon is a town in the Indian state of Maharashtra known for its railway junction and proximity to historical and religious sites.
-
D.
Bongaon
Bongaon is a town in the North 24 Parganas district of West Bengal, India, located near the India–Bangladesh border and known as an important local trade and transport hub.
-
E.
Krishnanagar
Krishnanagar is a historic town in eastern India known for its cultural heritage, temples, and traditional clay artistry.
- 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: Garhgaon Triple: [Ahom kingdom, capital, Garhgaon]
Generated description
Garhgaon was a historic city in Assam, India, that served as an important political and administrative center of the Ahom dynasty.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Garhgaon Target entity description: Garhgaon was a historic city in Assam, India, that served as an important political and administrative center of the Ahom dynasty.
-
A.
Borahgaon
Borahgaon is a locality in the vicinity of Guwahati’s Lokpriya Gopinath Bordoloi International Airport in Assam, India.
-
B.
Baranagar
Baranagar is a densely populated suburban city in the northern part of Kolkata, India, known for its industrial areas, educational institutions, and cultural heritage.
-
C.
Chalisgaon
Chalisgaon is a town in the Indian state of Maharashtra known for its railway junction and proximity to historical and religious sites.
-
D.
Bongaon
Bongaon is a town in the North 24 Parganas district of West Bengal, India, located near the India–Bangladesh border and known as an important local trade and transport hub.
-
E.
Krishnanagar
Krishnanagar is a historic town in eastern India known for its cultural heritage, temples, and traditional clay artistry.
- 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_69c6888d8e3c81909db79714903baf31 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebda7b748190a230a22ecea79342 |
completed | March 27, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9162980708190be2a347b2322c09c |
completed | March 29, 2026, 12:08 p.m. |
| NEDg | Description generation | batch_69c91718a39c8190b89a0572a797d272 |
completed | March 29, 2026, 12:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c917af70d4819085f90d655ebdac39 |
completed | March 29, 2026, 12:14 p.m. |
Created at: March 27, 2026, 3:01 p.m.