Triple
T10872977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayahuasca |
E256704
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
yagé
Yagé is a traditional Amazonian psychoactive brew made from Banisteriopsis caapi and other plants, used by Indigenous peoples for spiritual, healing, and divinatory purposes.
|
E890045
|
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: yagé | Statement: [Ayahuasca, hasAlternativeName, yagé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: yagé Context triple: [Ayahuasca, hasAlternativeName, yagé]
-
A.
YAKT
YAKT is the time zone abbreviation for Yakutsk Time, used in parts of eastern Russia.
-
B.
Yat
Yat is the given name of Yat Malmgren, a notable dancer, choreographer, and acting teacher known for developing a movement-based acting technique.
-
C.
YAM
YAM is the IATA airport code for Sault Ste. Marie Airport in Ontario, Canada.
-
D.
yácata
A yácata is a distinctive terraced pyramidal structure with a rounded and rectangular base characteristic of the pre-Hispanic Purépecha (Tarascan) culture in western Mexico.
-
E.
Yalamlam
Yalamlam is a mountainous area in western Saudi Arabia that serves as one of the designated entry points (miqats) where pilgrims intending Hajj or Umrah enter the state of ihram.
- 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: yagé Triple: [Ayahuasca, hasAlternativeName, yagé]
Generated description
Yagé is a traditional Amazonian psychoactive brew made from Banisteriopsis caapi and other plants, used by Indigenous peoples for spiritual, healing, and divinatory purposes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: yagé Target entity description: Yagé is a traditional Amazonian psychoactive brew made from Banisteriopsis caapi and other plants, used by Indigenous peoples for spiritual, healing, and divinatory purposes.
-
A.
YAKT
YAKT is the time zone abbreviation for Yakutsk Time, used in parts of eastern Russia.
-
B.
Yat
Yat is the given name of Yat Malmgren, a notable dancer, choreographer, and acting teacher known for developing a movement-based acting technique.
-
C.
YAM
YAM is the IATA airport code for Sault Ste. Marie Airport in Ontario, Canada.
-
D.
yácata
A yácata is a distinctive terraced pyramidal structure with a rounded and rectangular base characteristic of the pre-Hispanic Purépecha (Tarascan) culture in western Mexico.
-
E.
Yalamlam
Yalamlam is a mountainous area in western Saudi Arabia that serves as one of the designated entry points (miqats) where pilgrims intending Hajj or Umrah enter the state of ihram.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751885b348190baf6eb606089a438 |
completed | April 9, 2026, 7:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7dbea28819083511b56bcd7d4ce |
completed | April 15, 2026, 8:41 p.m. |
| NEDg | Description generation | batch_69e0026fda3c8190b60174b252d57e12 |
completed | April 15, 2026, 9:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e00581fde08190b28b8dde4a21d59e |
completed | April 15, 2026, 9:39 p.m. |
Created at: April 8, 2026, 9:21 p.m.