Triple
T3861017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maheno shipwreck |
E90135
|
entity |
| Predicate | materialCondition |
P49968
|
FINISHED |
| Object | rusting |
—
|
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: rusting | Statement: [Maheno shipwreck, materialCondition, rusting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialCondition Context triple: [Maheno shipwreck, materialCondition, rusting]
-
A.
conditionOfGoods
Indicates the state, quality, or integrity that the goods are in at a given time or upon a specified event.
-
B.
materialProvidedFor
Indicates that one entity supplies or makes available a material for use, processing, or incorporation by another entity or purpose.
-
C.
rimCondition
Indicates a condition or state that applies specifically to the rim or edge of an object or structure.
-
D.
material
Indicates that one entity is physically composed of, made from, or constructed using the substance or material represented by the other entity.
-
E.
materialDescribedAs
chosen
Indicates that a material is characterized or specified using a particular descriptive term, label, or textual description.
- 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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec212a1c8190aba6311630c3fd3e |
completed | March 9, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69aee752c8a48190a670f73ed0bf1e61 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:19 p.m.