Triple
T4917358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tepanec War |
E110380
|
entity |
| Predicate | hasParticipant |
P149
|
FINISHED |
| Object |
Tayauh
Tayauh was a participant in the Tepanec War, a conflict among pre-Columbian Nahua city-states in central Mexico.
|
E484615
|
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: Tayauh | Statement: [Tepanec War, hasParticipant, Tayauh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tayauh Context triple: [Tepanec War, hasParticipant, Tayauh]
-
A.
Satawal
Satawal is a small, remote coral atoll in the Federated States of Micronesia renowned for its traditional non-instrument navigation and seafaring culture.
-
B.
Talokan
Talokan is a fictional underwater Mesoamerican-inspired kingdom ruled by Namor in the Marvel Cinematic Universe film "Black Panther: Wakanda Forever."
-
C.
Gutu
Gutu is a town and district in southeastern Zimbabwe known for its rural communities and agricultural activities within Masvingo Province.
-
D.
Yana Bay
Yana Bay is a remote Arctic bay along the northern coast of Siberia, opening into the Laptev Sea and associated with the mouth of the Yana River.
-
E.
Tongaat
Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
- 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: Tayauh Triple: [Tepanec War, hasParticipant, Tayauh]
Generated description
Tayauh was a participant in the Tepanec War, a conflict among pre-Columbian Nahua city-states in central Mexico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tayauh Target entity description: Tayauh was a participant in the Tepanec War, a conflict among pre-Columbian Nahua city-states in central Mexico.
-
A.
Satawal
Satawal is a small, remote coral atoll in the Federated States of Micronesia renowned for its traditional non-instrument navigation and seafaring culture.
-
B.
Talokan
Talokan is a fictional underwater Mesoamerican-inspired kingdom ruled by Namor in the Marvel Cinematic Universe film "Black Panther: Wakanda Forever."
-
C.
Gutu
Gutu is a town and district in southeastern Zimbabwe known for its rural communities and agricultural activities within Masvingo Province.
-
D.
Yana Bay
Yana Bay is a remote Arctic bay along the northern coast of Siberia, opening into the Laptev Sea and associated with the mouth of the Yana River.
-
E.
Tongaat
Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
- 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_69bd4413f9908190afcff44d7929cc4c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6fa760448190946401b4b21ea8b7 |
completed | March 20, 2026, 4:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be89e3215081908120a8d307debbb3 |
completed | March 21, 2026, 12:06 p.m. |
| NEDg | Description generation | batch_69be8beda7988190b4ba2da9dfda8608 |
completed | March 21, 2026, 12:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8c41d8948190b456a5ec45b3bb68 |
completed | March 21, 2026, 12:17 p.m. |
Created at: March 20, 2026, 1:29 p.m.