Triple
T9268924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thneedville |
E222770
|
entity |
| Predicate | outsideEnvironment |
P50917
|
FINISHED |
| Object | barren wasteland |
—
|
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: barren wasteland | Statement: [Thneedville, outsideEnvironment, barren wasteland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outsideEnvironment Context triple: [Thneedville, outsideEnvironment, barren wasteland]
-
A.
environmentType
Indicates the kind or category of environment associated with an entity or situation.
-
B.
environmentalCondition
Indicates the state or characteristics of the surrounding physical environment that affect or describe a situation, process, or entity.
-
C.
environmentalFactor
Indicates that one entity functions as an environmental influence or condition that affects another entity or process.
-
D.
secondaryEnvironment
chosen
Indicates that an entity is associated with an additional or supporting environment distinct from its primary one.
-
E.
environmentalMedium
Indicates the environmental context or medium (such as air, water, or soil) through which a substance, effect, or process occurs or is present.
- 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_69ca841f2e808190a64f4c31903a1332 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd074ef7408190b213c09491918132 |
completed | April 1, 2026, 11:53 a.m. |
| PD | Predicate disambiguation | batch_69cc7a537bbc8190baee71f556e52a7b |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:33 p.m.