Triple
T9107255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | المنطقة الشرقية |
E218507
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
صفوى
صفوى هي مدينة سعودية تقع في محافظة القطيف ضمن المنطقة الشرقية وتشتهر بنشاطها التجاري وقربها من ساحل الخليج العربي.
|
E777238
|
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: صفوى | Statement: [المنطقة الشرقية, containsCity, صفوى]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: صفوى Context triple: [المنطقة الشرقية, containsCity, صفوى]
-
A.
Sayyaf
Sayyaf is a surname most prominently associated with Abdul Rasul Sayyaf, an influential Afghan Islamist leader and former mujahideen commander.
-
B.
Wail al-Shehri
Wail al-Shehri was a Saudi national and al-Qaeda operative who participated as one of the suicide hijackers in the September 11, 2001 terrorist attacks in the United States.
-
C.
Nawaf
Nawaf is a masculine given name commonly used in Arabic-speaking countries, often associated with nobility and leadership.
-
D.
Fayez
Fayez is an Arabic male given name commonly used in the Middle East and North Africa, meaning "victorious" or "successful."
-
E.
Subhi al-Tufayli
Subhi al-Tufayli is a Lebanese Shia cleric and political figure best known as a founding leader and former secretary-general of Hezbollah who later became a vocal critic of the organization.
- 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: صفوى Triple: [المنطقة الشرقية, containsCity, صفوى]
Generated description
صفوى هي مدينة سعودية تقع في محافظة القطيف ضمن المنطقة الشرقية وتشتهر بنشاطها التجاري وقربها من ساحل الخليج العربي.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: صفوى Target entity description: صفوى هي مدينة سعودية تقع في محافظة القطيف ضمن المنطقة الشرقية وتشتهر بنشاطها التجاري وقربها من ساحل الخليج العربي.
-
A.
Sayyaf
Sayyaf is a surname most prominently associated with Abdul Rasul Sayyaf, an influential Afghan Islamist leader and former mujahideen commander.
-
B.
Wail al-Shehri
Wail al-Shehri was a Saudi national and al-Qaeda operative who participated as one of the suicide hijackers in the September 11, 2001 terrorist attacks in the United States.
-
C.
Nawaf
Nawaf is a masculine given name commonly used in Arabic-speaking countries, often associated with nobility and leadership.
-
D.
Fayez
Fayez is an Arabic male given name commonly used in the Middle East and North Africa, meaning "victorious" or "successful."
-
E.
Subhi al-Tufayli
Subhi al-Tufayli is a Lebanese Shia cleric and political figure best known as a founding leader and former secretary-general of Hezbollah who later became a vocal critic of the organization.
- 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_69ca83db7448819090d0a5de842ef2ac |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca573da0081909f4afcdb3ac99c53 |
completed | April 1, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d01842c12c81909fdb57b60e2f11f1 |
completed | April 3, 2026, 7:42 p.m. |
| NEDg | Description generation | batch_69d0196766248190aebda80cbd7d1eef |
completed | April 3, 2026, 7:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d019d76d2481909118b163ce5713f2 |
completed | April 3, 2026, 7:49 p.m. |
Created at: March 30, 2026, 7:16 p.m.