Triple
T457491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FrontlineMakeshiftCamps |
E7264
|
entity |
| Predicate | typicallyLack |
P13714
|
FINISHED |
| Object | Adequate shelter |
—
|
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: Adequate shelter | Statement: [FrontlineMakeshiftCamps, typicallyLack, Adequate shelter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicallyLack Context triple: [FrontlineMakeshiftCamps, typicallyLack, Adequate shelter]
-
A.
typicalIn
Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
-
B.
typicalAssumption
Indicates that something is taken as a standard or default assumption that generally holds in typical or normal circumstances.
-
C.
notTypicallyUsedFor
Indicates that something is generally not used for a particular purpose, function, or activity under normal circumstances.
-
D.
neglects
Indicates a relationship where one party fails to give appropriate attention, care, or consideration to another party or responsibility.
-
E.
typicalPractice
Indicates that an action, behavior, or method is commonly or customarily done in a given context or by a given group.
- F. None of above. chosen
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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efa3163081909acff040a22bd559 |
completed | Feb. 28, 2026, 1:37 p.m. |
| PD | Predicate disambiguation | batch_69a2ede614b88190be07425f5535f56d |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2ee8b56d08190bd625626353d01b4 |
completed | Feb. 28, 2026, 1:32 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.