Triple
T2061736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mehmet Akif Ersoy |
E45804
|
entity |
| Predicate | authorOf |
P4244
|
FINISHED |
| Object |
Safahat
Safahat is a celebrated collection of poems by Turkish poet Mehmet Akif Ersoy that reflects early 20th-century Ottoman and Islamic social, moral, and political themes.
|
E228527
|
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: Safahat | Statement: [Mehmet Akif Ersoy, authorOf, Safahat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Safahat Context triple: [Mehmet Akif Ersoy, authorOf, Safahat]
-
A.
Tajewala
Tajewala is a village in the Yamunanagar district of Haryana, India, historically known for the Tajewala Barrage on the Yamuna River, which was later replaced by the nearby Hathni Kund Barrage.
-
B.
Taltal
Taltal is a coastal city in northern Chile known for its historic mining activity and proximity to the Atacama Desert.
-
C.
al-Safa
Al-Safa is one of the two small hills inside the Masjid al-Haram in Mecca between which Muslims perform the ritual walk (sa'i) during Hajj and Umrah.
-
D.
Al Muntaha
Al Muntaha is a fine-dining restaurant located near the top of Dubai’s iconic Burj Al Arab, known for its upscale cuisine and panoramic views of the city and Persian Gulf.
-
E.
Nafe
Nafe is an indigenous Oceanic language spoken in Vanuatu.
- 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: Safahat Triple: [Mehmet Akif Ersoy, authorOf, Safahat]
Generated description
Safahat is a celebrated collection of poems by Turkish poet Mehmet Akif Ersoy that reflects early 20th-century Ottoman and Islamic social, moral, and political themes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Safahat Target entity description: Safahat is a celebrated collection of poems by Turkish poet Mehmet Akif Ersoy that reflects early 20th-century Ottoman and Islamic social, moral, and political themes.
-
A.
Tajewala
Tajewala is a village in the Yamunanagar district of Haryana, India, historically known for the Tajewala Barrage on the Yamuna River, which was later replaced by the nearby Hathni Kund Barrage.
-
B.
Taltal
Taltal is a coastal city in northern Chile known for its historic mining activity and proximity to the Atacama Desert.
-
C.
al-Safa
Al-Safa is one of the two small hills inside the Masjid al-Haram in Mecca between which Muslims perform the ritual walk (sa'i) during Hajj and Umrah.
-
D.
Al Muntaha
Al Muntaha is a fine-dining restaurant located near the top of Dubai’s iconic Burj Al Arab, known for its upscale cuisine and panoramic views of the city and Persian Gulf.
-
E.
Nafe
Nafe is an indigenous Oceanic language spoken in Vanuatu.
- 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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9d0ecf08190aec20338a6ba9911 |
completed | March 7, 2026, 5:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2017998c8190976c2111f140b90a |
completed | March 9, 2026, 1:19 a.m. |
| NEDg | Description generation | batch_69ae20b77cf081908ac4d94283202d51 |
completed | March 9, 2026, 1:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae213410708190af9715f488c5b8f5 |
completed | March 9, 2026, 1:24 a.m. |
Created at: March 4, 2026, 7:40 p.m.