Triple
T14922117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nairobi West Aerodrome |
E371538
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Langata
Langata is a residential and suburban area in southwestern Nairobi, Kenya, known for attractions like Nairobi National Park and the Giraffe Centre.
|
E1126554
|
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: Langata | Statement: [Nairobi West Aerodrome, locatedNear, Langata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langata Context triple: [Nairobi West Aerodrome, locatedNear, Langata]
-
A.
Lubaantun
Lubaantun is a Late Classic Maya archaeological site in southern Belize, known for its distinctive drystone construction and stepped pyramids.
-
B.
Galibi
Galibi is a coastal village in northeastern Suriname known for its indigenous communities and important sea turtle nesting beaches.
-
C.
Tumbalá
Tumbalá is a municipality in the Mexican state of Chiapas, known for its lush jungle landscapes and proximity to popular natural attractions.
-
D.
Lamaní
Lamaní is a small town located in the Comayagua Department of central Honduras, known for its rural character and agricultural surroundings.
-
E.
Comala
Comala is a town in the Mexican state of Colima, known for its picturesque colonial architecture and proximity to the active Volcán de Fuego.
- 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: Langata Triple: [Nairobi West Aerodrome, locatedNear, Langata]
Generated description
Langata is a residential and suburban area in southwestern Nairobi, Kenya, known for attractions like Nairobi National Park and the Giraffe Centre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Langata Target entity description: Langata is a residential and suburban area in southwestern Nairobi, Kenya, known for attractions like Nairobi National Park and the Giraffe Centre.
-
A.
Lubaantun
Lubaantun is a Late Classic Maya archaeological site in southern Belize, known for its distinctive drystone construction and stepped pyramids.
-
B.
Galibi
Galibi is a coastal village in northeastern Suriname known for its indigenous communities and important sea turtle nesting beaches.
-
C.
Tumbalá
Tumbalá is a municipality in the Mexican state of Chiapas, known for its lush jungle landscapes and proximity to popular natural attractions.
-
D.
Lamaní
Lamaní is a small town located in the Comayagua Department of central Honduras, known for its rural character and agricultural surroundings.
-
E.
Comala
Comala is a town in the Mexican state of Colima, known for its picturesque colonial architecture and proximity to the active Volcán de Fuego.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded63121e48190b54eb2546acc3c93 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72c141088190936f2fd53fee80e4 |
completed | May 8, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69fe7477270c819094a908a05143619d |
completed | May 8, 2026, 11:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe7542e5948190866991cabdf97f0e |
completed | May 8, 2026, 11:44 p.m. |
Created at: April 10, 2026, 2:34 a.m.