Triple
T3533901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portuguese India |
E74723
|
entity |
| Predicate | part |
P3120
|
FINISHED |
| Object |
Korlai
Korlai is a coastal village in Maharashtra, India, known for its historic Portuguese-built Korlai Fort and a unique Indo-Portuguese Creole-speaking community.
|
E364534
|
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: Korlai | Statement: [Portuguese India, part, Korlai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Korlai Context triple: [Portuguese India, part, Korlai]
-
A.
Vikrampura
Vikrampura was an important historical city that served as a principal royal center of the medieval Indian Pala dynasty in eastern India.
-
B.
Kawardha
Kawardha is a regional dialect of the Chhattisgarhi language spoken in parts of the Indian state of Chhattisgarh.
-
C.
Lopburi
Lopburi is an ancient city in central Thailand known for its historical Mon and Khmer heritage, temple ruins, and large population of free-roaming macaque monkeys.
-
D.
Indrapura
Indrapura was a prominent historical capital city of the Champa kingdom in what is now central Vietnam.
-
E.
Raichur
Raichur is a historic city in the Indian state of Karnataka, known for its ancient forts, archaeological significance, and strategic location between major river systems.
- 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: Korlai Triple: [Portuguese India, part, Korlai]
Generated description
Korlai is a coastal village in Maharashtra, India, known for its historic Portuguese-built Korlai Fort and a unique Indo-Portuguese Creole-speaking community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Korlai Target entity description: Korlai is a coastal village in Maharashtra, India, known for its historic Portuguese-built Korlai Fort and a unique Indo-Portuguese Creole-speaking community.
-
A.
Vikrampura
Vikrampura was an important historical city that served as a principal royal center of the medieval Indian Pala dynasty in eastern India.
-
B.
Kawardha
Kawardha is a regional dialect of the Chhattisgarhi language spoken in parts of the Indian state of Chhattisgarh.
-
C.
Lopburi
Lopburi is an ancient city in central Thailand known for its historical Mon and Khmer heritage, temple ruins, and large population of free-roaming macaque monkeys.
-
D.
Indrapura
Indrapura was a prominent historical capital city of the Champa kingdom in what is now central Vietnam.
-
E.
Raichur
Raichur is a historic city in the Indian state of Karnataka, known for its ancient forts, archaeological significance, and strategic location between major river systems.
- 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_69ad85d1a3948190931fd1ea1f49717b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc9b945481909867d44b810e8b1f |
completed | March 8, 2026, 6:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e9c408481909a808d400f545ff8 |
completed | March 13, 2026, 3:03 a.m. |
| NEDg | Description generation | batch_69b37f232b8881908f7b4df89399d1d8 |
completed | March 13, 2026, 3:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b37f8fea9481909eb82a06e6c71e98 |
completed | March 13, 2026, 3:08 a.m. |
Created at: March 8, 2026, 3:19 p.m.