Triple
T15251596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Negapatam |
E364530
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Nagapatnam
Nagapatnam is a coastal town and port in the Nagapattinam district of Tamil Nadu, India, historically significant for its maritime trade.
|
E1153169
|
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: Nagapatnam | Statement: [Negapatam, hasAlternativeName, Nagapatnam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nagapatnam Context triple: [Negapatam, hasAlternativeName, Nagapatnam]
-
A.
Narmadapuram
Narmadapuram is a city in the central Indian state of Madhya Pradesh, situated on the banks of the Narmada River and serving as an important regional administrative and cultural center.
-
B.
Naupada
Naupada is a prominent residential and commercial locality within the city of Thane in Maharashtra, India.
-
C.
Nagole
Nagole is a residential and commercial neighborhood in Hyderabad, India, served as a key terminus and transit hub on the Hyderabad Metro network.
-
D.
Tuljapur
Tuljapur is a town in Maharashtra, India, renowned as a major pilgrimage center for the goddess Bhavani.
-
E.
Narsingi
Narsingi is a rapidly developing residential and commercial suburb in the western part of Hyderabad, Telangana, known for its proximity to the IT corridor and Outer Ring Road.
- 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: Nagapatnam Triple: [Negapatam, hasAlternativeName, Nagapatnam]
Generated description
Nagapatnam is a coastal town and port in the Nagapattinam district of Tamil Nadu, India, historically significant for its maritime trade.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nagapatnam Target entity description: Nagapatnam is a coastal town and port in the Nagapattinam district of Tamil Nadu, India, historically significant for its maritime trade.
-
A.
Narmadapuram
Narmadapuram is a city in the central Indian state of Madhya Pradesh, situated on the banks of the Narmada River and serving as an important regional administrative and cultural center.
-
B.
Naupada
Naupada is a prominent residential and commercial locality within the city of Thane in Maharashtra, India.
-
C.
Nagole
Nagole is a residential and commercial neighborhood in Hyderabad, India, served as a key terminus and transit hub on the Hyderabad Metro network.
-
D.
Tuljapur
Tuljapur is a town in Maharashtra, India, renowned as a major pilgrimage center for the goddess Bhavani.
-
E.
Narsingi
Narsingi is a rapidly developing residential and commercial suburb in the western part of Hyderabad, Telangana, known for its proximity to the IT corridor and Outer Ring Road.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f728648190b2c86e4528542b65 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b37e4388190b748e884b3ba7568 |
completed | May 9, 2026, 10:23 a.m. |
| NEDg | Description generation | batch_69ff0d0d171881908b0d22dd70fffbcb |
completed | May 9, 2026, 10:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff0de162d08190bb821a805b52c42e |
completed | May 9, 2026, 10:35 a.m. |
Created at: April 10, 2026, 3:13 a.m.