Triple
T12931637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tariff of 1857 |
E309395
|
entity |
| Predicate | mainDisadvantagedParty |
P7340
|
FINISHED |
| Object | domestic manufacturers seeking protection |
—
|
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: domestic manufacturers seeking protection | Statement: [Tariff of 1857, mainDisadvantagedParty, domestic manufacturers seeking protection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainDisadvantagedParty Context triple: [Tariff of 1857, mainDisadvantagedParty, domestic manufacturers seeking protection]
-
A.
dominantParty
Indicates that one party in a relationship holds primary control, authority, or influence over the other.
-
B.
decliningParty
Indicates that an entity refuses, rejects, or turns down an offer, request, or proposal made by another entity.
-
C.
otherSignificantParty
Indicates that an entity has another important associated party, such as a key counterpart, partner, or involved participant in a relationship or transaction.
-
D.
hasMainDefendant
Indicates that a legal case or proceeding identifies a specific individual or entity as its primary defendant.
-
E.
disadvantage
chosen
Indicates that one entity is in a less favorable, weaker, or hindered position relative to another 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97db69f548190a1a693bc0d6c191a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:42 p.m.