Triple
T4007232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karura Forest |
E89553
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Muthaiga
Muthaiga is an affluent residential suburb of Nairobi, Kenya, known for its upscale homes, diplomatic residences, and exclusive social clubs.
|
E406523
|
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: Muthaiga | Statement: [Karura Forest, near, Muthaiga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muthaiga Context triple: [Karura Forest, near, Muthaiga]
-
A.
Bhyrappa
Bhyrappa is an Indian surname most prominently associated with S. L. Bhyrappa, a renowned Kannada novelist and philosopher.
-
B.
Marga Marga
Marga Marga is a river in central Chile whose name was adopted by the surrounding Province of Marga Marga.
-
C.
Sitaantaagu
Sitaantaagu is the Tlingit name for the Mendenhall Glacier near Juneau, Alaska, a prominent valley glacier and major natural landmark.
-
D.
Baashha
Baashha is a hugely popular 1995 Tamil action film starring Rajinikanth, celebrated for its iconic dialogues, mass appeal, and enduring cult status in Indian cinema.
-
E.
Mudaliyandan
Mudaliyandan was a prominent disciple and close associate of the Sri Vaishnava philosopher-saint Ramanujacharya, known for his role in organizing and administering temple and community affairs.
- 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: Muthaiga Triple: [Karura Forest, near, Muthaiga]
Generated description
Muthaiga is an affluent residential suburb of Nairobi, Kenya, known for its upscale homes, diplomatic residences, and exclusive social clubs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Muthaiga Target entity description: Muthaiga is an affluent residential suburb of Nairobi, Kenya, known for its upscale homes, diplomatic residences, and exclusive social clubs.
-
A.
Bhyrappa
Bhyrappa is an Indian surname most prominently associated with S. L. Bhyrappa, a renowned Kannada novelist and philosopher.
-
B.
Marga Marga
Marga Marga is a river in central Chile whose name was adopted by the surrounding Province of Marga Marga.
-
C.
Sitaantaagu
Sitaantaagu is the Tlingit name for the Mendenhall Glacier near Juneau, Alaska, a prominent valley glacier and major natural landmark.
-
D.
Baashha
Baashha is a hugely popular 1995 Tamil action film starring Rajinikanth, celebrated for its iconic dialogues, mass appeal, and enduring cult status in Indian cinema.
-
E.
Mudaliyandan
Mudaliyandan was a prominent disciple and close associate of the Sri Vaishnava philosopher-saint Ramanujacharya, known for his role in organizing and administering temple and community affairs.
- 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa62d0e081909aaed2978a840734 |
completed | March 9, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c67eddc819097eff878c860f3d5 |
completed | March 14, 2026, 11:54 a.m. |
| NEDg | Description generation | batch_69b54d1898d48190b717a17ad366918d |
completed | March 14, 2026, 11:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b54de8dc708190b83978b15aed2e13 |
completed | March 14, 2026, noon |
Created at: March 9, 2026, 3:34 p.m.