Triple
T8618611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ha'il Region |
E204104
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Ash-Shamli
Ash-Shamli is a town in northwestern Saudi Arabia located within the Ha'il administrative region.
|
E749512
|
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: Ash-Shamli | Statement: [Ha'il Region, containsCity, Ash-Shamli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ash-Shamli Context triple: [Ha'il Region, containsCity, Ash-Shamli]
-
A.
Al-Shamiya
Al-Shamiya is a residential district in Kuwait City known for its central location and urban character within the capital area.
-
B.
Bawshar
Bawshar is a district in Muscat, Oman, known as a major urban area that includes important landmarks, commercial centers, and residential neighborhoods.
-
C.
Shawar
Shawar was a 12th-century vizier of the Fatimid Caliphate in Egypt, known for his turbulent rule and role in the conflicts that devastated Fustat.
-
D.
Sawalha
Sawalha is a family name most notably associated with British actresses Julia and Nadia Sawalha.
-
E.
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.
- 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: Ash-Shamli Triple: [Ha'il Region, containsCity, Ash-Shamli]
Generated description
Ash-Shamli is a town in northwestern Saudi Arabia located within the Ha'il administrative region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ash-Shamli Target entity description: Ash-Shamli is a town in northwestern Saudi Arabia located within the Ha'il administrative region.
-
A.
Al-Shamiya
Al-Shamiya is a residential district in Kuwait City known for its central location and urban character within the capital area.
-
B.
Bawshar
Bawshar is a district in Muscat, Oman, known as a major urban area that includes important landmarks, commercial centers, and residential neighborhoods.
-
C.
Shawar
Shawar was a 12th-century vizier of the Fatimid Caliphate in Egypt, known for his turbulent rule and role in the conflicts that devastated Fustat.
-
D.
Sawalha
Sawalha is a family name most notably associated with British actresses Julia and Nadia Sawalha.
-
E.
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.
- 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_69ca832ceab8819096e4a9f546695079 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc4712e74c81908b607a0ab2f9a361 |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecc92beb48190ad406f48e58d9d0c |
completed | April 2, 2026, 8:07 p.m. |
| NEDg | Description generation | batch_69cece1681288190a6c99407bc2f0bdd |
completed | April 2, 2026, 8:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecec118ac81909fbcafe841354c32 |
completed | April 2, 2026, 8:17 p.m. |
Created at: March 30, 2026, 6:26 p.m.