Triple
T13998358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chennai Port |
E336758
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | George Town, Chennai |
E1079102
|
NE FINISHED |
How this triple was built (2 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: George Town, Chennai | Statement: [Chennai Port, near, George Town, Chennai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Town, Chennai Context triple: [Chennai Port, near, George Town, Chennai]
-
A.
George Town, Chennai
chosen
George Town, Chennai is a historic commercial and administrative neighborhood in Chennai, India, known as one of the city’s oldest business districts.
-
B.
Chennai
Chennai is a major coastal metropolis in southern India, serving as the capital of Tamil Nadu and a key cultural, economic, and automotive hub.
-
C.
Madras
Madras is a small city in central Oregon known as an agricultural hub and gateway to outdoor recreation in the surrounding high desert region.
-
D.
Madras
Madras is an unincorporated community located in Coweta County in the U.S. state of Georgia.
-
E.
Thiruvanmiyur
Thiruvanmiyur is a coastal neighborhood in south Chennai, India, known for its residential areas, IT hubs, and proximity to major educational and research institutions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb68ba88190bfaf10777d607bf3 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7d691008190a38729d18de2bb91 |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 9, 2026, 10:19 p.m.