Triple
T15941352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bekaa Governorate |
E386570
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Joub Jannine
Joub Jannine is a town in Lebanon that serves as an important local center in the fertile Beqaa Valley region.
|
E1184646
|
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: Joub Jannine | Statement: [Bekaa Governorate, hasCity, Joub Jannine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joub Jannine Context triple: [Bekaa Governorate, hasCity, Joub Jannine]
-
A.
Josiane
Josiane is a central character in Victor Hugo's novel "L'Homme qui rit," known as a beautiful yet morally complex noblewoman whose actions significantly influence the tragic narrative.
-
B.
Yasmina
Yasmina is the given first name of French actress Isabelle Adjani, reflecting her Algerian heritage.
-
C.
Janine
Janine is a feminine given name used in various cultures, often as a variant of Jeanine or Jeanne.
-
D.
Juwayriya
Juwayriya was a wife of the Prophet Muhammad and is regarded as one of the Mothers of the Believers in Islamic tradition.
-
E.
Karima
Karima is a town in northern Sudan known as a gateway to the ancient Nubian archaeological area around Gebel Barkal and the Napatan sites.
- 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: Joub Jannine Triple: [Bekaa Governorate, hasCity, Joub Jannine]
Generated description
Joub Jannine is a town in Lebanon that serves as an important local center in the fertile Beqaa Valley region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joub Jannine Target entity description: Joub Jannine is a town in Lebanon that serves as an important local center in the fertile Beqaa Valley region.
-
A.
Josiane
Josiane is a central character in Victor Hugo's novel "L'Homme qui rit," known as a beautiful yet morally complex noblewoman whose actions significantly influence the tragic narrative.
-
B.
Yasmina
Yasmina is the given first name of French actress Isabelle Adjani, reflecting her Algerian heritage.
-
C.
Janine
Janine is a feminine given name used in various cultures, often as a variant of Jeanine or Jeanne.
-
D.
Juwayriya
Juwayriya was a wife of the Prophet Muhammad and is regarded as one of the Mothers of the Believers in Islamic tradition.
-
E.
Karima
Karima is a town in northern Sudan known as a gateway to the ancient Nubian archaeological area around Gebel Barkal and the Napatan sites.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156ce0230819089a20114a755a75a |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5bbc07c819098fd768e2e6b5b3e |
completed | May 9, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69ffb706eb348190baba254656fc0e71 |
completed | May 9, 2026, 10:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb7812bf08190918c1410565633e2 |
completed | May 9, 2026, 10:38 p.m. |
Created at: April 10, 2026, 4:53 a.m.