Triple
T9723455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Salha bint Asem |
E235540
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Salha
Salha is a Jordanian princess and member of the Hashemite royal family.
|
E821302
|
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: Salha | Statement: [Princess Salha bint Asem, givenName, Salha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salha Context triple: [Princess Salha bint Asem, givenName, Salha]
-
A.
Al Bahah
Al Bahah is a city in southwestern Saudi Arabia known for its mild climate, forests, and mountainous landscapes that make it a popular domestic tourist destination.
-
B.
Suq al-Shuyukh
Suq al-Shuyukh is a city in southern Iraq known as a local commercial and administrative center within the Dhi Qar region.
-
C.
Kalba
Kalba is a coastal town and exclave of the Emirate of Sharjah in the United Arab Emirates, known for its mangrove forests and tranquil beaches along the Gulf of Oman.
-
D.
Salalah
Salalah is a coastal city in southern Oman known for its monsoon-cooled climate, lush green landscapes, and role as a regional tourism and commercial hub.
-
E.
Buraidah
Buraidah is a major city in north-central Saudi Arabia and the capital of Al-Qassim Province, known as an important agricultural and commercial center.
- 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: Salha Triple: [Princess Salha bint Asem, givenName, Salha]
Generated description
Salha is a Jordanian princess and member of the Hashemite royal family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Salha Target entity description: Salha is a Jordanian princess and member of the Hashemite royal family.
-
A.
Al Bahah
Al Bahah is a city in southwestern Saudi Arabia known for its mild climate, forests, and mountainous landscapes that make it a popular domestic tourist destination.
-
B.
Suq al-Shuyukh
Suq al-Shuyukh is a city in southern Iraq known as a local commercial and administrative center within the Dhi Qar region.
-
C.
Kalba
Kalba is a coastal town and exclave of the Emirate of Sharjah in the United Arab Emirates, known for its mangrove forests and tranquil beaches along the Gulf of Oman.
-
D.
Salalah
Salalah is a coastal city in southern Oman known for its monsoon-cooled climate, lush green landscapes, and role as a regional tourism and commercial hub.
-
E.
Buraidah
Buraidah is a major city in north-central Saudi Arabia and the capital of Al-Qassim Province, known as an important agricultural and commercial center.
- 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_69ca84d0123c819096f9dc3b6abb0881 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e75abd48190a6e6679ec51496e8 |
completed | April 1, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c40575f48190807b6a3f10e63b41 |
completed | April 5, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_69d1c4d62a78819089ece2bb1f5fb66b |
completed | April 5, 2026, 2:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1c589b90481908bc0944868d648b2 |
completed | April 5, 2026, 2:14 a.m. |
Created at: March 30, 2026, 8:20 p.m.