Triple
T37753436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas City disaster of 1947 |
E941044
|
entity |
| Predicate | involvedMaterialUse |
P25885
|
FINISHED |
| Object | fertilizer |
—
|
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: fertilizer | Statement: [Texas City disaster of 1947, involvedMaterialUse, fertilizer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvedMaterialUse Context triple: [Texas City disaster of 1947, involvedMaterialUse, fertilizer]
-
A.
materialInvolved
chosen
Indicates that a particular material participates in, is used by, or is otherwise involved in the referenced process, event, or relationship.
-
B.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
C.
materialReusedAt
Indicates that some or all of a material is used again at a specified location or facility.
-
D.
usesProductionResourcesOf
Indicates that one entity makes use of the production resources (such as facilities, equipment, or infrastructure) that belong to or are operated by another entity.
-
E.
materialRemainsOf
Indicates that one entity consists of the surviving physical remains or material traces of another, typically earlier, entity.
- 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_69f76ee1f3a88190834e6c8af99bccc9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69feaa483fcc81909d8a46b38a8717bf |
completed | May 9, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69fea8c9d45c81908ccc8619e5fefac1 |
completed | May 9, 2026, 3:23 a.m. |
Created at: May 3, 2026, 4:19 p.m.