Triple
T8369623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Đạo Mẫu |
E197420
|
entity |
| Predicate | hasDeity |
P5606
|
FINISHED |
| Object |
Mẫu Địa
Mẫu Địa is an earth mother goddess in the Vietnamese Mother Goddess religion (Đạo Mẫu), associated with the land, fertility, and the earthly realm.
|
E727067
|
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: Mẫu Địa | Statement: [Đạo Mẫu, hasDeity, Mẫu Địa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mẫu Địa Context triple: [Đạo Mẫu, hasDeity, Mẫu Địa]
-
A.
Earth
Earth is the third planet from the Sun and the only known world to support life, characterized by vast oceans, diverse ecosystems, and a protective atmosphere.
-
B.
Earth
Earth was the original name of the pioneering English heavy metal band that later became known worldwide as Black Sabbath.
-
C.
Terra
Terra is a sustainability-themed character created as one of the official mascots for Expo 2020 Dubai, symbolizing environmental awareness and ecological responsibility.
-
D.
La Terre
La Terre is a naturalist novel by Émile Zola that portrays the brutal lives, struggles, and moral decay of French peasants in the 19th century countryside.
-
E.
Erdek
Erdek is a coastal town and popular seaside resort in Turkey’s Balıkesir Province, located on the Kapıdağ Peninsula along the Sea of Marmara.
- 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: Mẫu Địa Triple: [Đạo Mẫu, hasDeity, Mẫu Địa]
Generated description
Mẫu Địa is an earth mother goddess in the Vietnamese Mother Goddess religion (Đạo Mẫu), associated with the land, fertility, and the earthly realm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mẫu Địa Target entity description: Mẫu Địa is an earth mother goddess in the Vietnamese Mother Goddess religion (Đạo Mẫu), associated with the land, fertility, and the earthly realm.
-
A.
Earth
Earth is the third planet from the Sun and the only known world to support life, characterized by vast oceans, diverse ecosystems, and a protective atmosphere.
-
B.
Earth
Earth was the original name of the pioneering English heavy metal band that later became known worldwide as Black Sabbath.
-
C.
Terra
Terra is a sustainability-themed character created as one of the official mascots for Expo 2020 Dubai, symbolizing environmental awareness and ecological responsibility.
-
D.
La Terre
La Terre is a naturalist novel by Émile Zola that portrays the brutal lives, struggles, and moral decay of French peasants in the 19th century countryside.
-
E.
Erdek
Erdek is a coastal town and popular seaside resort in Turkey’s Balıkesir Province, located on the Kapıdağ Peninsula along the Sea of Marmara.
- 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_69ca82f56730819080cec5d991c76f4c |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80a400888190bef114052f3c4f76 |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc7929e388190b35505378d0cf653 |
completed | April 2, 2026, 1:34 a.m. |
| NEDg | Description generation | batch_69cdcc88ee7881909c81d55a5354cbae |
completed | April 2, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdcd366df88190aefa4fe9d5d470e6 |
completed | April 2, 2026, 1:58 a.m. |
Created at: March 30, 2026, 6:01 p.m.