Triple
T28369988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Lau Spreading Center |
E718598
|
entity |
| Predicate | hasSpreadingType |
P2062
|
FINISHED |
| Object | asymmetric back-arc spreading |
—
|
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: asymmetric back-arc spreading | Statement: [Central Lau Spreading Center, hasSpreadingType, asymmetric back-arc spreading]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpreadingType Context triple: [Central Lau Spreading Center, hasSpreadingType, asymmetric back-arc spreading]
-
A.
spreadsAs
Indicates that one entity propagates, extends, or disseminates from another entity or source.
-
B.
hasSpreadingCenter
Indicates that one geological or tectonic entity contains or is associated with a spreading center where crust is being created and plates diverge.
-
C.
areSpreadOn
Indicates that multiple items are distributed across or laid out over the surface or area of something.
-
D.
spreadingRateType
chosen
Indicates the manner or category of how quickly or in what way something spreads or propagates.
-
E.
spreadingStatus
Indicates the current state or progression of how something is spreading or being disseminated (e.g., whether and how it is expanding, stable, or declining).
- 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_69eff6ed5af48190be4e0adf298223e0 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: April 28, 2026, 12:58 a.m.