Triple
T13680414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orientale Province |
E327984
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Bondo
Bondo is a town located in the northeastern part of the Democratic Republic of the Congo.
|
E1055538
|
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: Bondo | Statement: [Orientale Province, containsCity, Bondo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bondo Context triple: [Orientale Province, containsCity, Bondo]
-
A.
Bondo
Bondo is a town in western Kenya’s Nyanza region, known as an administrative and commercial center near Lake Victoria.
-
B.
Bostik
Bostik is a global adhesive and sealant manufacturer known for its products used in construction, industrial, and consumer markets.
-
C.
Rilsan
Rilsan is a high-performance bio-based polyamide (nylon) material widely used for its durability, chemical resistance, and flexibility in demanding industrial applications.
-
D.
Bondeno
Bondeno is a municipality in northern Italy’s Emilia-Romagna region, known for its agricultural landscape and location within the Province of Ferrara.
-
E.
Babbit
Babbit is a cartoon character from the Looney Tunes universe, best known as one of the two mischievous cats who repeatedly try to catch Tweety Bird.
- 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: Bondo Triple: [Orientale Province, containsCity, Bondo]
Generated description
Bondo is a town located in the northeastern part of the Democratic Republic of the Congo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bondo Target entity description: Bondo is a town located in the northeastern part of the Democratic Republic of the Congo.
-
A.
Bondo
Bondo is a town in western Kenya’s Nyanza region, known as an administrative and commercial center near Lake Victoria.
-
B.
Bostik
Bostik is a global adhesive and sealant manufacturer known for its products used in construction, industrial, and consumer markets.
-
C.
Rilsan
Rilsan is a high-performance bio-based polyamide (nylon) material widely used for its durability, chemical resistance, and flexibility in demanding industrial applications.
-
D.
Bondeno
Bondeno is a municipality in northern Italy’s Emilia-Romagna region, known for its agricultural landscape and location within the Province of Ferrara.
-
E.
Babbit
Babbit is a cartoon character from the Looney Tunes universe, best known as one of the two mischievous cats who repeatedly try to catch Tweety Bird.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc66cbb088190907cb89dda8e4ebd |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7944347a08190bc1386e78ddb3e71 |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f79523bf608190addeca563bea132e |
completed | May 3, 2026, 6:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7965cc9f88190acbf232615a9e87b |
completed | May 3, 2026, 6:39 p.m. |
Created at: April 9, 2026, 9:53 p.m.