Triple
T4605575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Chinook |
E100424
|
entity |
| Predicate | tradeNetworkScope |
P57403
|
FINISHED |
| Object | lower Columbia River basin |
—
|
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: lower Columbia River basin | Statement: [Lower Chinook, tradeNetworkScope, lower Columbia River basin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tradeNetworkScope Context triple: [Lower Chinook, tradeNetworkScope, lower Columbia River basin]
-
A.
tradeNetwork
Indicates a relationship where entities are connected through the exchange of goods, services, or resources within an ongoing system of trade.
-
B.
tradeSystem
Indicates a system or framework through which goods, services, or assets are exchanged between parties under defined rules or mechanisms.
-
C.
distributorTerritory
Indicates the geographic area or market in which a distributor is authorized or responsible to sell or distribute products or services.
-
D.
tradingPartner
Indicates a relationship where two entities engage in the exchange of goods, services, or financial instruments with one another.
-
E.
geographicScopeOfIssuers
Indicates the geographic region or area in which the referenced issuers are located or operate.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd599b1f0881909fd693b81ff44f98 |
completed | March 20, 2026, 2:28 p.m. |
| PD | Predicate disambiguation | batch_69bd522e2d5c8190937d0b5574f78f99 |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd56b5f4648190834eafa666d53caa |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:12 p.m.