Triple
T11083094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qahtan |
E262050
|
entity |
| Predicate | hasSubtribe |
P29097
|
FINISHED |
| Object |
Al Sanhan
Al Sanhan is a notable subtribe of the Qahtan tribal confederation, traditionally associated with southern Arabian tribal lineages.
|
E903893
|
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 Sanhan | Statement: [Qahtan, hasSubtribe, Al Sanhan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Sanhan Context triple: [Qahtan, hasSubtribe, Al Sanhan]
-
A.
Sahnun
Sahnun was a prominent 9th-century Islamic jurist from North Africa whose compilation of legal opinions, the Mudawwana, became a foundational text of the Maliki school of Sunni jurisprudence.
-
B.
Forlani
Forlani is an Italian surname most notably associated with English actress Claire Forlani.
-
C.
Abin Sur
Abin Sur is a DC Comics alien Green Lantern who serves as Hal Jordan’s predecessor and whose death leads to Jordan inheriting the Green Lantern power ring.
-
D.
Guereda
Guereda is a town in eastern Chad that serves as an administrative and market center in the Wadi Fira region.
-
E.
Menriq
Menriq is an indigenous Aslian language spoken by a small Orang Asli community in Peninsular Malaysia.
- 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 Sanhan Triple: [Qahtan, hasSubtribe, Al Sanhan]
Generated description
Al Sanhan is a notable subtribe of the Qahtan tribal confederation, traditionally associated with southern Arabian tribal lineages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Al Sanhan Target entity description: Al Sanhan is a notable subtribe of the Qahtan tribal confederation, traditionally associated with southern Arabian tribal lineages.
-
A.
Sahnun
Sahnun was a prominent 9th-century Islamic jurist from North Africa whose compilation of legal opinions, the Mudawwana, became a foundational text of the Maliki school of Sunni jurisprudence.
-
B.
Forlani
Forlani is an Italian surname most notably associated with English actress Claire Forlani.
-
C.
Abin Sur
Abin Sur is a DC Comics alien Green Lantern who serves as Hal Jordan’s predecessor and whose death leads to Jordan inheriting the Green Lantern power ring.
-
D.
Guereda
Guereda is a town in eastern Chad that serves as an administrative and market center in the Wadi Fira region.
-
E.
Menriq
Menriq is an indigenous Aslian language spoken by a small Orang Asli community in Peninsular Malaysia.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799bf89f48190889f08d2f5dd220a |
completed | April 9, 2026, 12:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e79854c88190bda69cfbe4ae9d1e |
completed | April 18, 2026, 8:20 p.m. |
| NEDg | Description generation | batch_69e3f2cafc008190a3504999297f1e4e |
completed | April 18, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3f488819081908f9a4225279cde6b |
completed | April 18, 2026, 9:15 p.m. |
Created at: April 8, 2026, 9:27 p.m.