Triple
T18228971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahrain Island |
E436492
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Al Dair
Al Dair is a coastal town in northeastern Bahrain known for its traditional communities and proximity to Bahrain International Airport.
|
E1313764
|
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: Al Dair | Statement: [Bahrain Island, hasCity, Al Dair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Dair Context triple: [Bahrain Island, hasCity, Al Dair]
-
A.
Ayn al-Jarr
Ayn al-Jarr is the ancient spring whose name is believed to have given rise to the name of the Lebanese town of Anjar.
-
B.
Al-Bureij
Al-Bureij is a Palestinian refugee camp and urban locality in the central Gaza Strip.
-
C.
Al-Hawta
Al-Hawta is a town in southern Yemen that serves as a local administrative and market center for surrounding rural districts.
-
D.
Amdoun
Amdoun is a small town in northwestern Tunisia, located within the Béja Governorate and known for its agricultural surroundings and proximity to the Khroumirie mountains.
-
E.
Dar el-Batha
Dar el-Batha is a former royal palace in Fez, Morocco, now serving as a museum renowned for its collection of traditional Moroccan arts and crafts.
- 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: Al Dair Triple: [Bahrain Island, hasCity, Al Dair]
Generated description
Al Dair is a coastal town in northeastern Bahrain known for its traditional communities and proximity to Bahrain International Airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Al Dair Target entity description: Al Dair is a coastal town in northeastern Bahrain known for its traditional communities and proximity to Bahrain International Airport.
-
A.
Ayn al-Jarr
Ayn al-Jarr is the ancient spring whose name is believed to have given rise to the name of the Lebanese town of Anjar.
-
B.
Al-Bureij
Al-Bureij is a Palestinian refugee camp and urban locality in the central Gaza Strip.
-
C.
Al-Hawta
Al-Hawta is a town in southern Yemen that serves as a local administrative and market center for surrounding rural districts.
-
D.
Amdoun
Amdoun is a small town in northwestern Tunisia, located within the Béja Governorate and known for its agricultural surroundings and proximity to the Khroumirie mountains.
-
E.
Dar el-Batha
Dar el-Batha is a former royal palace in Fez, Morocco, now serving as a museum renowned for its collection of traditional Moroccan arts and crafts.
- 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.