Triple
T7534340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ouidah |
E178108
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Python Temple
Python Temple is a prominent Vodun religious site in Ouidah, Benin, known for its sacred live pythons and role in traditional West African spiritual practices.
|
E671329
|
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: Python Temple | Statement: [Ouidah, hasLandmark, Python Temple]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Python Temple Context triple: [Ouidah, hasLandmark, Python Temple]
-
A.
Pythonidae
Pythonidae is a family of nonvenomous constrictor snakes that includes pythons found across Africa, Asia, and Australia.
-
B.
PyPy
PyPy is a high-performance alternative Python interpreter featuring a Just-In-Time (JIT) compiler designed to significantly speed up the execution of Python programs.
-
C.
Repyt
Repyt is an ancient Egyptian lioness goddess primarily worshipped at Akhmim, associated with protection and sometimes linked to solar and warlike aspects.
-
D.
plpython2u
plpython2u is an untrusted PostgreSQL procedural language extension that allows writing database functions in Python 2.
-
E.
Python
Python is a monstrous serpent or dragon from Greek mythology, best known for being slain by the god Apollo at Delphi.
- 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: Python Temple Triple: [Ouidah, hasLandmark, Python Temple]
Generated description
Python Temple is a prominent Vodun religious site in Ouidah, Benin, known for its sacred live pythons and role in traditional West African spiritual practices.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Python Temple Target entity description: Python Temple is a prominent Vodun religious site in Ouidah, Benin, known for its sacred live pythons and role in traditional West African spiritual practices.
-
A.
Pythonidae
Pythonidae is a family of nonvenomous constrictor snakes that includes pythons found across Africa, Asia, and Australia.
-
B.
PyPy
PyPy is a high-performance alternative Python interpreter featuring a Just-In-Time (JIT) compiler designed to significantly speed up the execution of Python programs.
-
C.
Repyt
Repyt is an ancient Egyptian lioness goddess primarily worshipped at Akhmim, associated with protection and sometimes linked to solar and warlike aspects.
-
D.
plpython2u
plpython2u is an untrusted PostgreSQL procedural language extension that allows writing database functions in Python 2.
-
E.
Python
Python is a monstrous serpent or dragon from Greek mythology, best known for being slain by the god Apollo at Delphi.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84a9d28819084ebfc44fcb2c29c |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f0765b48190b8df68f22c8901f4 |
completed | March 28, 2026, 9:58 p.m. |
| NEDg | Description generation | batch_69c8514ed0108190bb9686422818b2d1 |
completed | March 28, 2026, 10:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c851f462dc8190a706c9580449a396 |
completed | March 28, 2026, 10:11 p.m. |
Created at: March 27, 2026, 3:47 p.m.