Triple
T19377020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La2CuO4 |
E484697
|
entity |
| Predicate | hasExchangeInteraction |
P3970
|
FINISHED |
| Object | strong antiferromagnetic superexchange via oxygen |
—
|
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: strong antiferromagnetic superexchange via oxygen | Statement: [La2CuO4, hasExchangeInteraction, strong antiferromagnetic superexchange via oxygen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExchangeInteraction Context triple: [La2CuO4, hasExchangeInteraction, strong antiferromagnetic superexchange via oxygen]
-
A.
hasInterchangesWith
Indicates that two transportation routes, lines, or services share one or more points where passengers can transfer between them.
-
B.
hasInteraction
chosen
Indicates that there is some form of interaction or mutual action occurring between the related entities.
-
C.
hasNotableInterchange
Indicates that there exists a significant or well-known point of exchange, connection, or transfer between the related entities.
-
D.
isInterchangeWith
Indicates that two entities can be substituted or exchanged for one another without loss of function, value, or compatibility.
-
E.
hasSecondaryExchange
Indicates that an entity is additionally listed or traded on a secondary exchange beyond its primary market.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a5cfbf48190ac60e3ffa6baa263 |
completed | April 20, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_69e4fd54f8e48190956e73dd8969164a |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:35 p.m.