Triple
T26692020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | P-waves |
E672911
|
entity |
| Predicate | arrivalOrder |
P161121
|
FINISHED |
| Object | first to arrive at a seismic station |
—
|
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: first to arrive at a seismic station | Statement: [P-waves, arrivalOrder, first to arrive at a seismic station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arrivalOrder Context triple: [P-waves, arrivalOrder, first to arrive at a seismic station]
-
A.
admissionOrder
Indicates the sequence or priority in which admissions occur or are processed relative to one another.
-
B.
accuracyOrderTime
Indicates the degree to which the recorded or predicted time of an order matches its actual or intended time.
-
C.
orden
Indicates that one entity issues, gives, or establishes an order, command, or directive concerning another entity or situation.
-
D.
arrivalFrom
Indicates that an entity arrives at a location or state originating from a specified source location or state.
-
E.
distributionOrder
Indicates the sequence or arrangement in which items or resources are distributed among recipients or locations.
- F. None of above. chosen
Provenance (4 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_69eecda2066c8190a344218afa5e89c1 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6174310d48190b1ef1e515fed7990 |
completed | May 2, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60f24ed608190bffe6c6084fc2f7a |
completed | May 2, 2026, 2:50 p.m. |
Created at: April 27, 2026, 3:26 a.m.