Triple
T8398040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perak River |
E198101
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object |
Parit
Parit is a small Malaysian town in the state of Perak, known for its riverside setting and traditional local community.
|
E730582
|
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: Parit | Statement: [Perak River, nearbySettlement, Parit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parit Context triple: [Perak River, nearbySettlement, Parit]
-
A.
Parachi
Parachi is a lesser-known Eastern Iranian language spoken by a small community in parts of Afghanistan.
-
B.
Parai
Parai is a traditional Tamil frame drum used in folk music, rituals, and social gatherings, often associated with ceremonial and community performances.
-
C.
Paran
Paran is a wilderness region in the Hebrew Bible traditionally located in the northern Sinai or southern Transjordan, associated with Israelite wanderings and prophetic activity.
-
D.
Parva
Parva is a renowned Kannada novel by S. L. Bhyrappa that offers a modern, realistic retelling of the Indian epic Mahabharata.
-
E.
Paranesti
Paranesti is a small town and municipality in northeastern Greece, known for its mountainous landscapes, forests, and proximity to the Nestos River.
- 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: Parit Triple: [Perak River, nearbySettlement, Parit]
Generated description
Parit is a small Malaysian town in the state of Perak, known for its riverside setting and traditional local community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parit Target entity description: Parit is a small Malaysian town in the state of Perak, known for its riverside setting and traditional local community.
-
A.
Parachi
Parachi is a lesser-known Eastern Iranian language spoken by a small community in parts of Afghanistan.
-
B.
Parai
Parai is a traditional Tamil frame drum used in folk music, rituals, and social gatherings, often associated with ceremonial and community performances.
-
C.
Paran
Paran is a wilderness region in the Hebrew Bible traditionally located in the northern Sinai or southern Transjordan, associated with Israelite wanderings and prophetic activity.
-
D.
Parva
Parva is a renowned Kannada novel by S. L. Bhyrappa that offers a modern, realistic retelling of the Indian epic Mahabharata.
-
E.
Paranesti
Paranesti is a small town and municipality in northeastern Greece, known for its mountainous landscapes, forests, and proximity to the Nestos River.
- 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_69ca82f816bc8190ab321c07d72208c1 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb818a8dc081908efd5d7f910322e7 |
completed | March 31, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde867d21c8190b066a6c88273ec5a |
completed | April 2, 2026, 3:54 a.m. |
| NEDg | Description generation | batch_69cdebfd60188190a1681344e2bf1e9e |
completed | April 2, 2026, 4:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cded2fa42c8190bfbfc79caf38bf8e |
completed | April 2, 2026, 4:14 a.m. |
Created at: March 30, 2026, 6:04 p.m.