Triple
T16510478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sigmoceros |
E401046
|
entity |
| Predicate | includesTaxon |
P1393
|
FINISHED |
| Object |
topi
The topi is a fast, medium-sized African antelope known for its reddish-brown coat, lyre-shaped horns, and preference for open savanna habitats.
|
E1217772
|
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: topi | Statement: [Sigmoceros, includesTaxon, topi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: topi Context triple: [Sigmoceros, includesTaxon, topi]
-
A.
Tsopk
Tsopk is the Armenian name for the ancient region of Sophene, a historical province located in the highlands of what is now eastern Turkey.
-
B.
TOP
TOP is the IATA airport code for Philip Billard Municipal Airport serving Topeka, Kansas, in the United States.
-
C.
Tampuhan
Tampuhan is a famous 1895 oil painting by Filipino artist Juan Luna depicting a sulking couple in a traditional Filipino setting, often interpreted as a reflection of romantic misunderstanding and emotional distance.
-
D.
Tekopua
Tekopua is a small, uninhabited motu in the Aitutaki Lagoon of the Cook Islands, known for its white-sand beaches and turquoise waters.
-
E.
TAPA
TAPA is the ICAO airport code for V. C. Bird International Airport, the main international gateway to Antigua and Barbuda.
- 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: topi Triple: [Sigmoceros, includesTaxon, topi]
Generated description
The topi is a fast, medium-sized African antelope known for its reddish-brown coat, lyre-shaped horns, and preference for open savanna habitats.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: topi Target entity description: The topi is a fast, medium-sized African antelope known for its reddish-brown coat, lyre-shaped horns, and preference for open savanna habitats.
-
A.
Tsopk
Tsopk is the Armenian name for the ancient region of Sophene, a historical province located in the highlands of what is now eastern Turkey.
-
B.
TOP
TOP is the IATA airport code for Philip Billard Municipal Airport serving Topeka, Kansas, in the United States.
-
C.
Tampuhan
Tampuhan is a famous 1895 oil painting by Filipino artist Juan Luna depicting a sulking couple in a traditional Filipino setting, often interpreted as a reflection of romantic misunderstanding and emotional distance.
-
D.
Tekopua
Tekopua is a small, uninhabited motu in the Aitutaki Lagoon of the Cook Islands, known for its white-sand beaches and turquoise waters.
-
E.
TAPA
TAPA is the ICAO airport code for V. C. Bird International Airport, the main international gateway to Antigua and Barbuda.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e55fe7c8190abc957bdd326d1bc |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00608038288190925586dfb7e64689 |
completed | May 10, 2026, 10:40 a.m. |
| NEDg | Description generation | batch_6a0060fd5d6c819099d5d1ccaaa907c9 |
completed | May 10, 2026, 10:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0061e78b68819095d554b2ff7a329a |
completed | May 10, 2026, 10:45 a.m. |
Created at: April 10, 2026, 5:14 a.m.