Triple
T6978603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pythonidae |
E161778
|
entity |
| Predicate | includesGenus |
P1393
|
FINISHED |
| Object |
Simalia
Simalia is a genus of large, non-venomous pythons native primarily to Australia and New Guinea, known for species such as the amethystine python.
|
E633584
|
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: Simalia | Statement: [Pythonidae, includesGenus, Simalia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simalia Context triple: [Pythonidae, includesGenus, Simalia]
-
A.
Wanaruah
Wanaruah is an alternative ethnonym for the Wonnarua, an Aboriginal Australian people traditionally associated with the Hunter Valley region of New South Wales.
-
B.
Enyeama
Enyeama is a Nigerian surname most prominently associated with Vincent Enyeama, a renowned former goalkeeper and captain of the Nigeria national football team.
-
C.
Melipal
Melipal is one of the Unit Telescopes of the Very Large Telescope array at ESO’s Paranal Observatory in Chile, used for advanced optical and infrared astronomical observations.
-
D.
Teraina
Teraina is a remote, low-lying coral atoll in the central Pacific Ocean that forms part of the Republic of Kiribati.
-
E.
Girga
Girga is an ancient town in Upper Egypt, historically significant as a regional center along the Nile.
- 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: Simalia Triple: [Pythonidae, includesGenus, Simalia]
Generated description
Simalia is a genus of large, non-venomous pythons native primarily to Australia and New Guinea, known for species such as the amethystine python.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Simalia Target entity description: Simalia is a genus of large, non-venomous pythons native primarily to Australia and New Guinea, known for species such as the amethystine python.
-
A.
Wanaruah
Wanaruah is an alternative ethnonym for the Wonnarua, an Aboriginal Australian people traditionally associated with the Hunter Valley region of New South Wales.
-
B.
Enyeama
Enyeama is a Nigerian surname most prominently associated with Vincent Enyeama, a renowned former goalkeeper and captain of the Nigeria national football team.
-
C.
Melipal
Melipal is one of the Unit Telescopes of the Very Large Telescope array at ESO’s Paranal Observatory in Chile, used for advanced optical and infrared astronomical observations.
-
D.
Teraina
Teraina is a remote, low-lying coral atoll in the central Pacific Ocean that forms part of the Republic of Kiribati.
-
E.
Girga
Girga is an ancient town in Upper Egypt, historically significant as a regional center along the Nile.
- 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_69c68855dc0481909b4c7e9e9ed273db |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db6aa6188190af7656ff4d0e3230 |
completed | March 27, 2026, 7:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761b614e88190877455edd5f64cf1 |
completed | March 28, 2026, 5:05 a.m. |
| NEDg | Description generation | batch_69c7629031608190b1ef76e969c97925 |
completed | March 28, 2026, 5:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c76329a47081909b47894ba0e1cad1 |
completed | March 28, 2026, 5:12 a.m. |
Created at: March 27, 2026, 2:31 p.m.