Triple
T16773779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tripylon |
E407670
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object |
Hadish
Hadish was one of the main palace complexes within the ancient Achaemenid capital of Persepolis, likely serving as a royal residence.
|
E1234002
|
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: Hadish | Statement: [Tripylon, connects, Hadish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hadish Context triple: [Tripylon, connects, Hadish]
-
A.
Hamida
Hamida is a central, ambitious young woman in Naguib Mahfouz’s novel "Midaq Alley," whose desire to escape poverty and traditional constraints drives much of the story’s conflict.
-
B.
Hadiyya Afoo
Hadiyya Afoo is a Cushitic language spoken primarily by the Hadiyya people in southern Ethiopia.
-
C.
Hanan
Hanan is a given name most notably borne by Palestinian legislator, activist, and scholar Hanan Ashrawi.
-
D.
Buraydah
Buraydah is a major city in central Saudi Arabia and the capital of Al-Qassim Region, known as an important agricultural and commercial center.
-
E.
Fahdah
Fahdah is a Saudi princess, formally known as Princess Fahdah Mohammed Abunayyan, associated with the Saudi royal family.
- 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: Hadish Triple: [Tripylon, connects, Hadish]
Generated description
Hadish was one of the main palace complexes within the ancient Achaemenid capital of Persepolis, likely serving as a royal residence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hadish Target entity description: Hadish was one of the main palace complexes within the ancient Achaemenid capital of Persepolis, likely serving as a royal residence.
-
A.
Hamida
Hamida is a central, ambitious young woman in Naguib Mahfouz’s novel "Midaq Alley," whose desire to escape poverty and traditional constraints drives much of the story’s conflict.
-
B.
Hadiyya Afoo
Hadiyya Afoo is a Cushitic language spoken primarily by the Hadiyya people in southern Ethiopia.
-
C.
Hanan
Hanan is a given name most notably borne by Palestinian legislator, activist, and scholar Hanan Ashrawi.
-
D.
Buraydah
Buraydah is a major city in central Saudi Arabia and the capital of Al-Qassim Region, known as an important agricultural and commercial center.
-
E.
Fahdah
Fahdah is a Saudi princess, formally known as Princess Fahdah Mohammed Abunayyan, associated with the Saudi royal family.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b037c5708190ba604e7707b5a8a2 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aafc28c0819084ecd6e5be6adec9 |
completed | May 10, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_6a00abfe035881909330d356bb497229 |
completed | May 10, 2026, 4:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00ac54a11c81909afe9244e9fe0656 |
completed | May 10, 2026, 4:03 p.m. |
Created at: April 10, 2026, 5:21 a.m.