Triple
T14223660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Aulaqi Sultanate |
E352560
|
entity |
| Predicate | tribalAffiliation |
P13151
|
FINISHED |
| Object |
Aulaqi
Aulaqi refers to a prominent Arab tribal group from southern Yemen historically influential in regional politics and leadership.
|
E1088631
|
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: Aulaqi | Statement: [Upper Aulaqi Sultanate, tribalAffiliation, Aulaqi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aulaqi Context triple: [Upper Aulaqi Sultanate, tribalAffiliation, Aulaqi]
-
A.
Hulusi
Hulusi is a Turkish physician best known for first describing Behçet's disease, a chronic inflammatory disorder that now bears his name.
-
B.
Saqilatuh
Saqilatuh is a town located within Egypt’s Sohag Governorate in Upper Egypt.
-
C.
Muqali
Muqali was one of Genghis Khan’s most trusted generals, renowned for his successful campaigns and governance in northern China during the early Mongol conquests.
-
D.
Fayiz
Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
-
E.
Muladis
Muladis were Muslims in medieval Iberia who were originally local Christians that had converted to Islam, often blending Arab-Islamic and Iberian cultural elements.
- 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: Aulaqi Triple: [Upper Aulaqi Sultanate, tribalAffiliation, Aulaqi]
Generated description
Aulaqi refers to a prominent Arab tribal group from southern Yemen historically influential in regional politics and leadership.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aulaqi Target entity description: Aulaqi refers to a prominent Arab tribal group from southern Yemen historically influential in regional politics and leadership.
-
A.
Hulusi
Hulusi is a Turkish physician best known for first describing Behçet's disease, a chronic inflammatory disorder that now bears his name.
-
B.
Saqilatuh
Saqilatuh is a town located within Egypt’s Sohag Governorate in Upper Egypt.
-
C.
Muqali
Muqali was one of Genghis Khan’s most trusted generals, renowned for his successful campaigns and governance in northern China during the early Mongol conquests.
-
D.
Fayiz
Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
-
E.
Muladis
Muladis were Muslims in medieval Iberia who were originally local Christians that had converted to Islam, often blending Arab-Islamic and Iberian cultural elements.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6227c288819081473ce44f9f0934 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd2813e55881909bdbc6f3c6ef572b |
completed | May 8, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69fd2b0956948190bf654403ad0b154a |
completed | May 8, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2df66aa48190ae18a4ca1c099c25 |
completed | May 8, 2026, 12:27 a.m. |
Created at: April 10, 2026, 1:06 a.m.