Triple
T9253650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satam al-Suqami |
E222385
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Satam
Satam is an Arabic male given name commonly used in the Gulf region.
|
E786286
|
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: Satam | Statement: [Satam al-Suqami, givenName, Satam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Satam Context triple: [Satam al-Suqami, givenName, Satam]
-
A.
Satna
Satna is a prominent industrial and commercial city in central India, known especially for its large cement factories and strategic location in Madhya Pradesh.
-
B.
Sitamun
Sitamun was an ancient Egyptian princess of the 18th Dynasty, likely a daughter of Amenhotep III and Queen Tiye, who was elevated to the status of Great Royal Wife during her father's reign.
-
C.
Samtah
Samtah is a town in southwestern Saudi Arabia located in the Jazan Region near the border with Yemen.
-
D.
Satun
Satun is a small coastal town in southern Thailand known as a gateway to the Andaman Sea and nearby islands such as Koh Lipe.
-
E.
Sitia
Sitia is a coastal town and port in eastern Crete, Greece, known for its relaxed atmosphere, nearby archaeological sites, and surrounding beaches.
- 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: Satam Triple: [Satam al-Suqami, givenName, Satam]
Generated description
Satam is an Arabic male given name commonly used in the Gulf region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Satam Target entity description: Satam is an Arabic male given name commonly used in the Gulf region.
-
A.
Satna
Satna is a prominent industrial and commercial city in central India, known especially for its large cement factories and strategic location in Madhya Pradesh.
-
B.
Sitamun
Sitamun was an ancient Egyptian princess of the 18th Dynasty, likely a daughter of Amenhotep III and Queen Tiye, who was elevated to the status of Great Royal Wife during her father's reign.
-
C.
Samtah
Samtah is a town in southwestern Saudi Arabia located in the Jazan Region near the border with Yemen.
-
D.
Satun
Satun is a small coastal town in southern Thailand known as a gateway to the Andaman Sea and nearby islands such as Koh Lipe.
-
E.
Sitia
Sitia is a coastal town and port in eastern Crete, Greece, known for its relaxed atmosphere, nearby archaeological sites, and surrounding beaches.
- 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_69ca841e4cd481908e738c74e958eaea |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd06b0789481908e8e44ebf1b3c713 |
completed | April 1, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0780c9efc81909470e7c64e23ffed |
completed | April 4, 2026, 2:31 a.m. |
| NEDg | Description generation | batch_69d0789ce9908190b5771e07f8b91ec0 |
completed | April 4, 2026, 2:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0791194948190ad0f1a3114b9b0ef |
completed | April 4, 2026, 2:36 a.m. |
Created at: March 30, 2026, 7:31 p.m.