Triple
T3524119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patagotitan mayorum |
E74496
|
entity |
| Predicate | livedInEnvironment |
P12079
|
FINISHED |
| Object | floodplain ecosystem |
—
|
LITERAL 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: floodplain ecosystem | Statement: [Patagotitan mayorum, livedInEnvironment, floodplain ecosystem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: livedInEnvironment Context triple: [Patagotitan mayorum, livedInEnvironment, floodplain ecosystem]
-
A.
hasLivingEnvironment
chosen
Indicates that an entity exists or resides within a particular living environment or habitat.
-
B.
laterLivedIn
Indicates that one entity resided in a particular place during a later period of its life, after an earlier residence elsewhere.
-
C.
livedBefore
Indicates that one entity existed or was alive at an earlier time than another entity.
-
D.
usedInEnvironment
Indicates that something is utilized or operates within a particular environment or context.
-
E.
livedWith
Indicates that two entities shared the same residence or household for a period of time.
- F. None of above.
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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc68b15881909b407486946ec3c5 |
completed | March 8, 2026, 6:14 p.m. |
| PD | Predicate disambiguation | batch_69adae121a048190b03825a001d21f49 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.