Triple
T9255953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larsa |
E222443
|
entity |
| Predicate | hasModernSiteName |
P20950
|
FINISHED |
| Object |
Tell as-Senkereh
Tell as-Senkereh is the archaeological mound in southern Iraq that marks the ruins of the ancient Mesopotamian city-state of Larsa.
|
E789026
|
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: Tell as-Senkereh | Statement: [Larsa, hasModernSiteName, Tell as-Senkereh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tell as-Senkereh Context triple: [Larsa, hasModernSiteName, Tell as-Senkereh]
-
A.
Al-Akhfash al-Akbar
Al-Akhfash al-Akbar was an early Arab grammarian and linguist associated with the Basra school, known for his contributions to the foundational study of Arabic grammar.
-
B.
Bir el Gubi
Bir el Gubi was a strategically important desert battlefield in Libya during World War II, known for significant clashes between British Commonwealth and Italian-German forces.
-
C.
Bab as-Silsila
Bab as-Silsila is one of the historic gates leading into the Al-Aqsa Mosque compound in Jerusalem’s Old City.
-
D.
El Hajeb
El Hajeb is a town and provincial capital in northern Morocco, situated in the Fès-Meknès region.
-
E.
Al-Kisāʾī
Al-Kisāʾī was a prominent early Arabic grammarian and Qurʾān reciter, renowned as one of the leading scholars of the Kufan linguistic tradition.
- 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: Tell as-Senkereh Triple: [Larsa, hasModernSiteName, Tell as-Senkereh]
Generated description
Tell as-Senkereh is the archaeological mound in southern Iraq that marks the ruins of the ancient Mesopotamian city-state of Larsa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tell as-Senkereh Target entity description: Tell as-Senkereh is the archaeological mound in southern Iraq that marks the ruins of the ancient Mesopotamian city-state of Larsa.
-
A.
Al-Akhfash al-Akbar
Al-Akhfash al-Akbar was an early Arab grammarian and linguist associated with the Basra school, known for his contributions to the foundational study of Arabic grammar.
-
B.
Bir el Gubi
Bir el Gubi was a strategically important desert battlefield in Libya during World War II, known for significant clashes between British Commonwealth and Italian-German forces.
-
C.
Bab as-Silsila
Bab as-Silsila is one of the historic gates leading into the Al-Aqsa Mosque compound in Jerusalem’s Old City.
-
D.
El Hajeb
El Hajeb is a town and provincial capital in northern Morocco, situated in the Fès-Meknès region.
-
E.
Al-Kisāʾī
Al-Kisāʾī was a prominent early Arabic grammarian and Qurʾān reciter, renowned as one of the leading scholars of the Kufan linguistic tradition.
- 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_69cd06b3c314819096632b8263288aae |
completed | April 1, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09bde36688190bf66669f585dcee7 |
completed | April 4, 2026, 5:04 a.m. |
| NEDg | Description generation | batch_69d09d5047e8819082dbb2e44547b41c |
completed | April 4, 2026, 5:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d09dec544c819095e2109d5e1671d3 |
completed | April 4, 2026, 5:13 a.m. |
Created at: March 30, 2026, 7:32 p.m.