Triple
T18228957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahrain Island |
E436492
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Sanabis
Sanabis is a village-turned-suburb in Bahrain, known for its proximity to Manama and its role as a residential and commercial area within the capital region.
|
E1313760
|
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: Sanabis | Statement: [Bahrain Island, hasCity, Sanabis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanabis Context triple: [Bahrain Island, hasCity, Sanabis]
-
A.
Nobsa
Nobsa is a Colombian town known for its traditional wool textiles and crafts, located in the Boyacá Department.
-
B.
Bacnotan
Bacnotan is a coastal municipality in the province of La Union in the Philippines, known for its cement industry and surfing beaches.
-
C.
Sabanalarga
Sabanalarga is a rural municipality in eastern Colombia known for its cattle ranching and agricultural activities within the Llanos (plains) region.
-
D.
Sabanalarga
Sabanalarga is a Colombian municipality located in the Caribbean region, known for its agricultural economy and traditional festivals.
-
E.
Banzebi
Banzebi are a subgroup of the Nzebi people, an ethnic community primarily found in Central Africa, especially in Gabon and surrounding regions.
- 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: Sanabis Triple: [Bahrain Island, hasCity, Sanabis]
Generated description
Sanabis is a village-turned-suburb in Bahrain, known for its proximity to Manama and its role as a residential and commercial area within the capital region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sanabis Target entity description: Sanabis is a village-turned-suburb in Bahrain, known for its proximity to Manama and its role as a residential and commercial area within the capital region.
-
A.
Nobsa
Nobsa is a Colombian town known for its traditional wool textiles and crafts, located in the Boyacá Department.
-
B.
Bacnotan
Bacnotan is a coastal municipality in the province of La Union in the Philippines, known for its cement industry and surfing beaches.
-
C.
Sabanalarga
Sabanalarga is a rural municipality in eastern Colombia known for its cattle ranching and agricultural activities within the Llanos (plains) region.
-
D.
Sabanalarga
Sabanalarga is a Colombian municipality located in the Caribbean region, known for its agricultural economy and traditional festivals.
-
E.
Banzebi
Banzebi are a subgroup of the Nzebi people, an ethnic community primarily found in Central Africa, especially in Gabon and surrounding regions.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4b1b2108190a5585bbfaf2d295b |
completed | April 19, 2026, 3:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03ac66d0b08190a09a20b1f393ed4f |
completed | May 12, 2026, 10:40 p.m. |
| NEDg | Description generation | batch_6a03ad5a19208190942d0a2a92641f69 |
completed | May 12, 2026, 10:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03adfb5e148190b96a0026a72d789b |
completed | May 12, 2026, 10:47 p.m. |
Created at: April 10, 2026, 10:33 a.m.