Triple
T7846044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Average Wage Index |
E181924
|
entity |
| Predicate | firstOrderStatistic |
P79331
|
FINISHED |
| Object | average wage |
—
|
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: average wage | Statement: [National Average Wage Index, firstOrderStatistic, average wage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOrderStatistic Context triple: [National Average Wage Index, firstOrderStatistic, average wage]
-
A.
firstOrdinary
Indicates that the subject is the first entity to hold or occupy an ordinary (non-special, standard) position, role, or status in a given sequence or context.
-
B.
firstOf
Indicates that one entity is the earliest or initial member in an ordered sequence or collection relative to the others.
-
C.
orderOf
Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering criterion.
-
D.
firstDisplacement
Indicates the initial change in position of an entity from its starting point in a given context or sequence of movements.
-
E.
firstSeries
Indicates that one entity is the initial or earliest series in an ordered sequence of related series.
- 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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb163f5da08190b7340ef4cc01cd19 |
completed | March 31, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69cae92180f88190ae3d44c3de7adc93 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7855a3c81908b9318f7186fc0c0 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:49 p.m.