Triple
T4390179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | hierarchy of needs |
E99342
|
entity |
| Predicate | lowestLevel |
P34975
|
FINISHED |
| Object | physiological needs |
—
|
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: physiological needs | Statement: [hierarchy of needs, lowestLevel, physiological needs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowestLevel Context triple: [hierarchy of needs, lowestLevel, physiological needs]
-
A.
lowestCategory
chosen
Indicates that an entity belongs to the most specific or least general category within a classification hierarchy.
-
B.
lowestRank
Indicates that the subject has the least or worst rank in an ordered set compared to all other related entities.
-
C.
lowestWorld
Indicates that the referenced world has the minimal value (e.g., in rank, cost, or some ordering) among a set of worlds.
-
D.
lowestPoint
Indicates that one entity is the point with the minimum vertical position or value relative to another entity or within a specified context.
-
E.
lowestGrade
Indicates that one entity has the smallest or worst grade value compared to all other relevant entities in a given context.
- 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_69b3454f739481909ff6c28331f0c0b9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35282cb2c8190856da20bb87e88ff |
completed | March 12, 2026, 11:55 p.m. |
| PD | Predicate disambiguation | batch_69b34f572efc8190bad1e5078cbcb75a |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:19 p.m.