Triple
T1410397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian gazelle |
E31789
|
entity |
| Predicate | class |
P87
|
FINISHED |
| Object | Mammalia |
E145943
|
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: Mammalia | Statement: [Indian gazelle, class, Mammalia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mammalia Context triple: [Indian gazelle, class, Mammalia]
-
A.
Mammalia
chosen
Mammalia is the vertebrate class of warm-blooded, typically fur-bearing animals that nourish their young with milk produced by mammary glands.
-
B.
Eutheria
Eutheria is a major clade of mammals that includes all placental mammals and their extinct relatives, characterized by prolonged gestation and complex placental development.
-
C.
Marsupialia
Marsupialia is a group of mammals characterized by giving birth to relatively undeveloped young that typically continue developing in a pouch.
-
D.
Carnivora
Carnivora is a diverse order of primarily meat-eating mammals that includes families such as bears, cats, dogs, weasels, and seals.
-
E.
Artiodactyla
Artiodactyla is a large order of even-toed hoofed mammals that includes animals such as deer, cattle, pigs, and camels.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3e0bfd08190a50820bc7585c28f |
completed | March 1, 2026, 10:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace57be14881908d469d2b5333d6d5 |
completed | March 8, 2026, 2:57 a.m. |
Created at: March 1, 2026, 7:59 p.m.