Triple
T14882739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sealdah–Ranaghat line |
E350039
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object |
Haringhata Road
Haringhata Road is a suburban railway station in West Bengal, India, that connects the surrounding area to Kolkata and other nearby towns.
|
E1131478
|
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: Haringhata Road | Statement: [Sealdah–Ranaghat line, serves, Haringhata Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haringhata Road Context triple: [Sealdah–Ranaghat line, serves, Haringhata Road]
-
A.
Suranjan Das Road
Suranjan Das Road is a major arterial road in Bengaluru, India, known for linking key residential and commercial areas and serving as an important commuter route.
-
B.
I.I. Chundrigar Road
I.I. Chundrigar Road is Karachi’s principal financial and commercial artery, lined with major banks, corporate offices, and key institutions.
-
C.
Najafgarh Road
Najafgarh Road is a major arterial road in West Delhi, India, connecting several key residential and commercial areas.
-
D.
Bangla Road
Bangla Road is a famous entertainment and nightlife street in Patong, Phuket, known for its bars, clubs, and vibrant party atmosphere.
-
E.
Sagar Road
Sagar Road is a major roadway in Hyderabad, India, that connects the LB Nagar area with other key parts of the city.
- 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: Haringhata Road Triple: [Sealdah–Ranaghat line, serves, Haringhata Road]
Generated description
Haringhata Road is a suburban railway station in West Bengal, India, that connects the surrounding area to Kolkata and other nearby towns.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haringhata Road Target entity description: Haringhata Road is a suburban railway station in West Bengal, India, that connects the surrounding area to Kolkata and other nearby towns.
-
A.
Suranjan Das Road
Suranjan Das Road is a major arterial road in Bengaluru, India, known for linking key residential and commercial areas and serving as an important commuter route.
-
B.
I.I. Chundrigar Road
I.I. Chundrigar Road is Karachi’s principal financial and commercial artery, lined with major banks, corporate offices, and key institutions.
-
C.
Najafgarh Road
Najafgarh Road is a major arterial road in West Delhi, India, connecting several key residential and commercial areas.
-
D.
Bangla Road
Bangla Road is a famous entertainment and nightlife street in Patong, Phuket, known for its bars, clubs, and vibrant party atmosphere.
-
E.
Sagar Road
Sagar Road is a major roadway in Hyderabad, India, that connects the LB Nagar area with other key parts of the city.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e7c0e48190af2d68a71130585c |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9687a5888190a6e6ffd781f64edc |
completed | May 9, 2026, 2:05 a.m. |
| NEDg | Description generation | batch_69fe990b6ab48190b153a912f16c8c8d |
completed | May 9, 2026, 2:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe993c6094819086f0de1743272fd4 |
completed | May 9, 2026, 2:17 a.m. |
Created at: April 10, 2026, 1:56 a.m.