Triple
T6987121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Negusa Nagast |
E161990
|
entity |
| Predicate | hasFemaleCounterpart |
P1613
|
FINISHED |
| Object |
Itege
Itege is the traditional title for an empress or queen consort in the Ethiopian imperial system.
|
E633419
|
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: Itege | Statement: [Negusa Nagast, hasFemaleCounterpart, Itege]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Itege Context triple: [Negusa Nagast, hasFemaleCounterpart, Itege]
-
A.
Takelsa
Takelsa is a coastal town in northeastern Tunisia known for its agriculture and location within the Nabeul region on the Cap Bon peninsula.
-
B.
Senafe
Senafe is a town in southern Eritrea known for its strategic location near the Ethiopian border and its surrounding highland landscapes.
-
C.
Buhera
Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
-
D.
Etiwanda
Etiwanda is a historic former community in Southern California, now part of the city of Rancho Cucamonga, known for its early role in citrus agriculture and irrigation development.
-
E.
Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
- 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: Itege Triple: [Negusa Nagast, hasFemaleCounterpart, Itege]
Generated description
Itege is the traditional title for an empress or queen consort in the Ethiopian imperial system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Itege Target entity description: Itege is the traditional title for an empress or queen consort in the Ethiopian imperial system.
-
A.
Takelsa
Takelsa is a coastal town in northeastern Tunisia known for its agriculture and location within the Nabeul region on the Cap Bon peninsula.
-
B.
Senafe
Senafe is a town in southern Eritrea known for its strategic location near the Ethiopian border and its surrounding highland landscapes.
-
C.
Buhera
Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
-
D.
Etiwanda
Etiwanda is a historic former community in Southern California, now part of the city of Rancho Cucamonga, known for its early role in citrus agriculture and irrigation development.
-
E.
Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
- 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_69c68856d7808190ab33ee914640281b |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db95c6148190bdb5f355ac04db3f |
completed | March 27, 2026, 7:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761cfda14819088e11889f0151a37 |
completed | March 28, 2026, 5:06 a.m. |
| NEDg | Description generation | batch_69c7630440508190a66f218fd912d732 |
completed | March 28, 2026, 5:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7639747b88190b3429817d53c5703 |
completed | March 28, 2026, 5:13 a.m. |
Created at: March 27, 2026, 2:32 p.m.