Triple
T12002528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lango people |
E285699
|
entity |
| Predicate | administrativeRegion |
P285
|
FINISHED |
| Object |
Alebtong District
Alebtong District is a predominantly Lango-inhabited administrative district in northern Uganda.
|
E982663
|
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: Alebtong District | Statement: [Lango people, administrativeRegion, Alebtong District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alebtong District Context triple: [Lango people, administrativeRegion, Alebtong District]
-
A.
Pongau District
Pongau District is an administrative district in the Austrian state of Salzburg, known for its Alpine landscapes and popular ski resorts.
-
B.
Kalomo District
Kalomo District is an administrative district in southern Zambia known for its agricultural activities and proximity to national parks such as Kafue.
-
C.
Manang District
Manang District is a remote Himalayan district in central Nepal known for its high-altitude landscapes, trekking routes like the Annapurna Circuit, and sparse population.
-
D.
Butambala District
Butambala District is a rural administrative district in central Uganda known for its predominantly agricultural economy and small trading centers.
-
E.
Tembuku District
Tembuku District is an administrative district in the regency of Bangli on the island of Bali, Indonesia.
- 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: Alebtong District Triple: [Lango people, administrativeRegion, Alebtong District]
Generated description
Alebtong District is a predominantly Lango-inhabited administrative district in northern Uganda.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alebtong District Target entity description: Alebtong District is a predominantly Lango-inhabited administrative district in northern Uganda.
-
A.
Pongau District
Pongau District is an administrative district in the Austrian state of Salzburg, known for its Alpine landscapes and popular ski resorts.
-
B.
Kalomo District
Kalomo District is an administrative district in southern Zambia known for its agricultural activities and proximity to national parks such as Kafue.
-
C.
Manang District
Manang District is a remote Himalayan district in central Nepal known for its high-altitude landscapes, trekking routes like the Annapurna Circuit, and sparse population.
-
D.
Butambala District
Butambala District is a rural administrative district in central Uganda known for its predominantly agricultural economy and small trading centers.
-
E.
Tembuku District
Tembuku District is an administrative district in the regency of Bangli on the island of Bali, Indonesia.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c36b248190b446b17def94885b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f634515d20819094c9bc4f2c7cda8a |
completed | May 2, 2026, 5:28 p.m. |
| NEDg | Description generation | batch_69f63674aa3c81908ba82a9d246b3b3a |
completed | May 2, 2026, 5:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f63a9b32fc8190ab98492ff91d2a66 |
completed | May 2, 2026, 5:55 p.m. |
Created at: April 8, 2026, 9:46 p.m.