Triple
T3296615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamarajar Port |
E69231
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Ennore
Ennore is a coastal industrial and port suburb in the northern part of Chennai, Tamil Nadu, India.
|
E369507
|
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: Ennore | Statement: [Kamarajar Port, locatedIn, Ennore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ennore Context triple: [Kamarajar Port, locatedIn, Ennore]
-
A.
Valby
Valby is a district in Copenhagen, Denmark, known as an important local transport and residential area within the city.
-
B.
Rødovre
Rødovre is a suburban municipality in the Capital Region of Denmark, located just west of central Copenhagen.
-
C.
Frederiksberg
Frederiksberg is an affluent, centrally located municipality in Denmark that forms an enclave within the city of Copenhagen and is known for its parks, cultural institutions, and historic architecture.
-
D.
Ballerup
Ballerup is a suburban municipality near Copenhagen in eastern Denmark, known for its residential areas, business parks, and sports facilities.
-
E.
Høje Taastrup
Høje Taastrup is a major suburban railway and transport hub in the western part of the Copenhagen metropolitan area.
- 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: Ennore Triple: [Kamarajar Port, locatedIn, Ennore]
Generated description
Ennore is a coastal industrial and port suburb in the northern part of Chennai, Tamil Nadu, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ennore Target entity description: Ennore is a coastal industrial and port suburb in the northern part of Chennai, Tamil Nadu, India.
-
A.
Valby
Valby is a district in Copenhagen, Denmark, known as an important local transport and residential area within the city.
-
B.
Rødovre
Rødovre is a suburban municipality in the Capital Region of Denmark, located just west of central Copenhagen.
-
C.
Frederiksberg
Frederiksberg is an affluent, centrally located municipality in Denmark that forms an enclave within the city of Copenhagen and is known for its parks, cultural institutions, and historic architecture.
-
D.
Ballerup
Ballerup is a suburban municipality near Copenhagen in eastern Denmark, known for its residential areas, business parks, and sports facilities.
-
E.
Høje Taastrup
Høje Taastrup is a major suburban railway and transport hub in the western part of the Copenhagen metropolitan area.
- 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb078f3dc8190afb624f62894e48f |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb6ae0bc8190a64ab7c2a842495b |
completed | March 13, 2026, 7:23 a.m. |
| NEDg | Description generation | batch_69b3bbdbda208190a358b85e704b9407 |
completed | March 13, 2026, 7:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3f5a60fa08190acbb7257b515369a |
completed | March 13, 2026, 11:31 a.m. |
Created at: March 8, 2026, 3:10 p.m.