Triple
T38559530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mycobacteriales |
E928039
|
entity |
| Predicate | includesPathogenicTaxa |
P199617
|
FINISHED |
| Object | Mycobacterium tuberculosis complex |
E271799
|
NE FINISHED |
How this triple was built (2 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: Mycobacterium tuberculosis complex | Statement: [Mycobacteriales, includesPathogenicTaxa, Mycobacterium tuberculosis complex]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesPathogenicTaxa Context triple: [Mycobacteriales, includesPathogenicTaxa, Mycobacterium tuberculosis complex]
-
A.
includesPathogensOf
Indicates that one entity contains or encompasses the pathogens that are associated with or originate from another entity.
-
B.
includesParasiticTaxa
Indicates that the referenced group or set contains taxa that live parasitically on or within other organisms.
-
C.
includesPathogens
chosen
Indicates that the subject entity contains, carries, or is associated with one or more pathogenic organisms.
-
D.
includesFamiliarTaxa
Indicates that the referenced group or set contains taxa that are commonly known or recognizable.
-
E.
includesTaxaWith
Indicates that an entity contains or encompasses one or more specified taxa within its scope or membership.
- F. None of above.
Provenance (4 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_69f76eb8d1808190a588af29d8b266d6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41e04369548190b5115a4868ed1cb6 |
completed | June 29, 2026, 3:02 a.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.