Triple
T3568418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Medenine |
E75508
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object |
Medenine
Medenine is a town in southeastern Tunisia known for its traditional ksour (fortified granaries) and its role as a strategic site during World War II.
|
E369869
|
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: Medenine | Statement: [Battle of Medenine, location, Medenine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medenine Context triple: [Battle of Medenine, location, Medenine]
-
A.
Umm al-Kitab
Umm al-Kitab is an honorific title for Surah Al-Fatiha, emphasizing its foundational status as the opening and central chapter of the Qur’an.
-
B.
Madina
Madina is a major suburban town and commercial hub within Ghana’s Greater Accra Region.
-
C.
Mesaieed
Mesaieed is an industrial city in Qatar known for its major port facilities and petrochemical industries.
-
D.
Darqawiyya
Darqawiyya is a prominent Sufi order that emerged as a reformist branch within the Shadhili tradition, known for its emphasis on spiritual poverty, remembrance of God, and social engagement in North Africa.
-
E.
Daburiyya
Daburiyya is an Arab town in northern Israel located at the foot of Mount Tabor in the Lower Galilee region.
- 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: Medenine Triple: [Battle of Medenine, location, Medenine]
Generated description
Medenine is a town in southeastern Tunisia known for its traditional ksour (fortified granaries) and its role as a strategic site during World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Medenine Target entity description: Medenine is a town in southeastern Tunisia known for its traditional ksour (fortified granaries) and its role as a strategic site during World War II.
-
A.
Umm al-Kitab
Umm al-Kitab is an honorific title for Surah Al-Fatiha, emphasizing its foundational status as the opening and central chapter of the Qur’an.
-
B.
Madina
Madina is a major suburban town and commercial hub within Ghana’s Greater Accra Region.
-
C.
Mesaieed
Mesaieed is an industrial city in Qatar known for its major port facilities and petrochemical industries.
-
D.
Darqawiyya
Darqawiyya is a prominent Sufi order that emerged as a reformist branch within the Shadhili tradition, known for its emphasis on spiritual poverty, remembrance of God, and social engagement in North Africa.
-
E.
Daburiyya
Daburiyya is an Arab town in northern Israel located at the foot of Mount Tabor in the Lower Galilee region.
- 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0c083ac8190a71cd9ede2114cac |
completed | March 8, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bbb3383c8190b14845a7de162502 |
completed | March 13, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69b3bc62e1b481908310d7af56fb4889 |
completed | March 13, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3f5b2fdcc8190842d2d7bd09c65c4 |
completed | March 13, 2026, 11:32 a.m. |
Created at: March 8, 2026, 3:21 p.m.