Triple
T457507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FrontlineMakeshiftCamps |
E7264
|
entity |
| Predicate | supplySource |
P409
|
FINISHED |
| Object | Frontline logistics chains |
—
|
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: Frontline logistics chains | Statement: [FrontlineMakeshiftCamps, supplySource, Frontline logistics chains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supplySource Context triple: [FrontlineMakeshiftCamps, supplySource, Frontline logistics chains]
-
A.
source
chosen
Indicates that something originates from, is derived from, or is provided by a particular entity or location.
-
B.
supplyCut
Indicates that the normal provision or flow of a resource, product, or service to an entity has been reduced, interrupted, or stopped.
-
C.
supplyChain
Indicates a relationship where one entity participates in providing, transferring, or managing goods, services, or information to another as part of a sequential production and distribution process.
-
D.
sourceOfWaterSupply
Indicates that one entity serves as the origin or provider of another entity’s water supply.
-
E.
purchasedFrom
Indicates that one entity bought or acquired something from another entity as the seller or source.
- 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_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. |
Created at: Feb. 28, 2026, 1:12 p.m.