Triple
T14624571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koyambedu depot |
E343311
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Koyambedu
Koyambedu is a major neighborhood in Chennai, India, known for its large market complex and as a key transport hub for the city.
|
E1077856
|
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: Koyambedu | Statement: [Koyambedu depot, locatedIn, Koyambedu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koyambedu Context triple: [Koyambedu depot, locatedIn, Koyambedu]
-
A.
Kuttippuram
Kuttippuram is a town in the Malappuram district of Kerala, India, known as a key transport hub and riverside settlement along the Bharathapuzha.
-
B.
Kottayam
Kottayam is a prominent town in the Indian state of Kerala known as a major center of Syrian Christian heritage, education, and publishing.
-
C.
Thrippunithura
Thrippunithura is a historic suburban town near Kochi in Kerala, India, known for its royal heritage, temples, and classical arts traditions.
-
D.
Mavelikkara
Mavelikkara is a town in the Alappuzha district of Kerala, India, known for its cultural heritage and historical significance.
-
E.
Vepery
Vepery is a historic neighborhood in central Chennai, India, known for its educational institutions, churches, and mixed residential–commercial character.
- 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: Koyambedu Triple: [Koyambedu depot, locatedIn, Koyambedu]
Generated description
Koyambedu is a major neighborhood in Chennai, India, known for its large market complex and as a key transport hub for the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koyambedu Target entity description: Koyambedu is a major neighborhood in Chennai, India, known for its large market complex and as a key transport hub for the city.
-
A.
Kuttippuram
Kuttippuram is a town in the Malappuram district of Kerala, India, known as a key transport hub and riverside settlement along the Bharathapuzha.
-
B.
Kottayam
Kottayam is a prominent town in the Indian state of Kerala known as a major center of Syrian Christian heritage, education, and publishing.
-
C.
Thrippunithura
Thrippunithura is a historic suburban town near Kochi in Kerala, India, known for its royal heritage, temples, and classical arts traditions.
-
D.
Mavelikkara
Mavelikkara is a town in the Alappuzha district of Kerala, India, known for its cultural heritage and historical significance.
-
E.
Vepery
chosen
Vepery is a historic neighborhood in central Chennai, India, known for its educational institutions, churches, and mixed residential–commercial character.
- F. None of above.
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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb468acc4819083b7e818d5cec809 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe388298c0819083c6bd7259c02d08 |
completed | May 8, 2026, 7:24 p.m. |
| NEDg | Description generation | batch_69fe41c0a6608190b9e977c6a0470de9 |
completed | May 8, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe4263f1cc8190b30478a3fb750ba5 |
completed | May 8, 2026, 8:07 p.m. |
Created at: April 10, 2026, 1:26 a.m.