Triple
T9660561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khorab |
E233577
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Otavi area
The Otavi area is a region in northern Namibia known for its mining activities, particularly for rich deposits of base metals such as copper, lead, and zinc.
|
E812725
|
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: Otavi area | Statement: [Khorab, locatedIn, Otavi area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Otavi area Context triple: [Khorab, locatedIn, Otavi area]
-
A.
Lobos Valley
Lobos Valley is a natural valley and open space area within the Presidio of San Francisco, known for its coastal habitat, trails, and historic military context.
-
B.
Lajeado
Lajeado is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
-
C.
Badiraguato
Badiraguato is a rural municipality in the Mexican state of Sinaloa, known for its mountainous terrain and as the birthplace of several notorious drug cartel figures.
-
D.
Estância
Estância is a municipality in the Brazilian state of Sergipe, known for its coastal location and traditional June festivals.
-
E.
Colonia Portales
Colonia Portales is a residential neighborhood in Mexico City known for its traditional urban layout, local commerce, and convenient access to public transportation.
- 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: Otavi area Triple: [Khorab, locatedIn, Otavi area]
Generated description
The Otavi area is a region in northern Namibia known for its mining activities, particularly for rich deposits of base metals such as copper, lead, and zinc.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Otavi area Target entity description: The Otavi area is a region in northern Namibia known for its mining activities, particularly for rich deposits of base metals such as copper, lead, and zinc.
-
A.
Lobos Valley
Lobos Valley is a natural valley and open space area within the Presidio of San Francisco, known for its coastal habitat, trails, and historic military context.
-
B.
Lajeado
Lajeado is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
-
C.
Badiraguato
Badiraguato is a rural municipality in the Mexican state of Sinaloa, known for its mountainous terrain and as the birthplace of several notorious drug cartel figures.
-
D.
Estância
Estância is a municipality in the Brazilian state of Sergipe, known for its coastal location and traditional June festivals.
-
E.
Colonia Portales
Colonia Portales is a residential neighborhood in Mexico City known for its traditional urban layout, local commerce, and convenient access to public transportation.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c08d0d0819086426ad6891b18db |
completed | April 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a0ff7548190ae438c4a334058ac |
completed | April 4, 2026, 10 p.m. |
| NEDg | Description generation | batch_69d18a8e0fbc8190912439815bab4677 |
completed | April 4, 2026, 10:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18afe54c88190846a873443aa56ef |
completed | April 4, 2026, 10:04 p.m. |
Created at: March 30, 2026, 8:14 p.m.