Triple
T17628269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siwan district |
E429904
|
entity |
| Predicate | hasUrbanCenter |
P2106
|
FINISHED |
| Object |
Siwan town
Siwan town is the main urban and administrative center of Siwan district in the Indian state of Bihar.
|
E1281029
|
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: Siwan town | Statement: [Siwan district, hasUrbanCenter, Siwan town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siwan town Context triple: [Siwan district, hasUrbanCenter, Siwan town]
-
A.
Siwan district
Siwan district is an administrative district in the Indian state of Bihar, known for its agrarian economy and historical association with prominent political leaders.
-
B.
Haldi City
Haldi City is a nickname commonly used for places in India renowned for their significant production or trade of turmeric.
-
C.
Naharkatiya town
Naharkatiya town is a settlement in Assam, India, known for its proximity to one of the region’s earliest and most significant oil-producing areas.
-
D.
Karipur
Karipur is a village in the Malappuram district of Kerala, India, best known for hosting Calicut International Airport, a major air gateway for the region.
-
E.
Machhlishahr
Machhlishahr is a town and administrative subdivision in the Jaunpur district of Uttar Pradesh, India, known for its local markets and regional connectivity.
- 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: Siwan town Triple: [Siwan district, hasUrbanCenter, Siwan town]
Generated description
Siwan town is the main urban and administrative center of Siwan district in the Indian state of Bihar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siwan town Target entity description: Siwan town is the main urban and administrative center of Siwan district in the Indian state of Bihar.
-
A.
Siwan district
Siwan district is an administrative district in the Indian state of Bihar, known for its agrarian economy and historical association with prominent political leaders.
-
B.
Haldi City
Haldi City is a nickname commonly used for places in India renowned for their significant production or trade of turmeric.
-
C.
Naharkatiya town
Naharkatiya town is a settlement in Assam, India, known for its proximity to one of the region’s earliest and most significant oil-producing areas.
-
D.
Karipur
Karipur is a village in the Malappuram district of Kerala, India, best known for hosting Calicut International Airport, a major air gateway for the region.
-
E.
Machhlishahr
Machhlishahr is a town and administrative subdivision in the Jaunpur district of Uttar Pradesh, India, known for its local markets and regional connectivity.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dbe3a308190a818d04f1a9b15f7 |
completed | April 19, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02164cf68c8190801a170ec8acaaf0 |
completed | May 11, 2026, 5:47 p.m. |
| NEDg | Description generation | batch_6a0217ca2ec881908573b0423c3610f7 |
completed | May 11, 2026, 5:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0218636e048190a48bc7f066c7bee1 |
completed | May 11, 2026, 5:56 p.m. |
Created at: April 10, 2026, 5:52 a.m.